Sample Problems for Exam 1, EE Note:
|
|
- Elwin Taylor
- 5 years ago
- Views:
Transcription
1 Sample Problems for Exam, EE 57 Note: Problem 3) Has been changed from what was handed out Friday, this is closer to what will come on the quiz. Also note that the hour time period length must be incorporated in the Lagrangian as shown in the solution. Problem 4) The handout on Friday morning had a fourth problem, but since it was a problem dealing with Hydro scheduling I eliminated it from this version we will not include hydro scheduling until the next exam. Prof Wollenberg
2 EE57, Exam, Problem Session Samples PROBLEM Given the three generating units below: UNIT : where UNIT : UNIT 3: 50 < P < 600 MW 300 < P < 875 MW 65 < P 3 < 400 MW F ( P ) = P P F ( P ) = P P F 3 ( P 3 ) = P P 3 Solve for the economic dispatch of these three units when they are to supply a total load of 500MW. Assume all generators are on line. WATCH GENERATOR LIMITS
3 Sample problem solution Unit Unit Min Incremental Cost Unit Max Incremental Cost Total Steps All units at min output: total = 75 Unit will load to its max giving a total of 90 Unit 3 now loads to its max, total now = 55 Back unit 3 down by 5 MW Solution MW Inc Cost Unit = at min Unit = at max Unit 3= Total 500
4 EE57, Exam, Problem Session Samples PROBLEM You are to find the optimal unit commitment schedule for the three generating units shown in the table below: (SEE NOTES NEXT PAGE) Unit Maximum Minimum Incremental No Load Start (MW) (MW) Cost Energy Input Up Cost ($/MWH) ($/HR) ($) The minimum up and down times for the units are: MINIMUM MINIMUM Up Time Down Time (HR) (HR) The load to be served is: (Each load period is hour long.) Period Load (MW) Use the following as the states to be searched in the DP: State Unit Unit Unit 3 Capacity of all units on 800 MW MW MW Assume that all four generators are off line prior to the first hour, and that they each have been off longer than their minimum down time. FIND: A) The optimal unit commitment schedule for the 4 hour time period B) The total production cost for the optimal schedule C) See part C at bottom of next page. Note: Please show all your work. If you skip some states in your scheduling, explain why.
5 EE57, Exam, Problem Session Samples The units in this example have linear F(P) functions : F(P) No Load Cost Pmin P Pmax The F(P) function is: F( P) = NoLoadcost + Inccos t * P Note however, that the unit must operate within its limits. To dispatch units with linear cost functions follow these steps: Step ) Sum the Pmax for all units on line - if this is less than the load the state is infeasible, quit. Step ) For each unit that is on line set its generation output at Pmin, subtract the sum of the Pmin for all the on line units from the total load to be supplied during the time period. Step 3) Raise the generation on the unit with the minimum incremental cost until either the total load is met or that unit hits its maximum. If at the maximum, then subtract that generations Pmax plus the sum of the Pmin of the other generator(s) from the load. Step 4) Raise the generation on the unit with the next higher incremental cost until either the total load is satisfied or that unit hit max. If at the maximum, then subtract that generations Pmax of the units at max plus the sum of the Pmin of the other generator from the load. Step 5) Take the highest incremental cost unit and start raising its output until load is satisfied. Part C) Show the equations you would use to set up a Lagrange Relaxation solution for this prob-.
6
7 EE57, Exam, Problem Session Samples PROBLEM 3 A small municipal power company in northern Minnesota has two power plants. One burns coal and the other burns natural gas supplied from a pipeline coming from Canada. The power company has ample supplies of coal and it purchases gas as take or pay contracts for fixed periods of time. For the 4 hour time period shown below, the power company must burn.0*0 6 cuft of gas. The fuel costs to the paper company are: coal gas.0 $/MBTU the gas is rated at 000 BTU/cuft Input/Output characteristics of generators: Unit (coal unit) H ( P ) = 0.P MBTU/HR 50 < P < 500 Unit (gas unit) q( P ) =.5P cuft/hr 50 < P < 000 Load: (Both load periods are hours long) Period Load (MW) Assume both units are on line for the entire 4 hours FIND: The most economic operation of the power plants over the 4 hours which meets the gas consumption requirements. (You may stop when you are within + or - 0.5*0 6 cuft of the gas target.).
8 Solution to Prob 3: Notation, subscript is the generator number, superscript is the time step. Set starting γ = 0.0 Lagrangian = F ( P ) + F( ) + λ (500 P P ) + λ(800 P ) + P γ (q( P ) + q( P ) *0 P Note, in the lagrangian, the last part requires a multiplication by hours since the q(p) function is the cuft/hour and each time period is hours. Two sets of equations should be set up: Set : is used to solve P, P, andλ 6 ) F P λ = 0 q γ λ P = P P = 0 Set :is used to solve P, P, andλ F P λ = 0 q γ λ P = P P = 0 Solution algorithm: a) Pick a value for γ b) Solve set then set c) Using P and P calculate the total gas used and compare to *0^6 See next page for answers.
9 First iteration: Set solves to: P = 375. andp = 5. withλ = 75 Set : solves to: P = 600andP = 00. withλ = 0 6 Total gas is: q( P = 5) + q( P = 00) =.668* 0 cuft Go back to step a and reduce γ slightly. Etc.
03-Economic Dispatch 1. EE570 Energy Utilization & Conservation Professor Henry Louie
03-Economic Dispatch 1 EE570 Energy Utilization & Conservation Professor Henry Louie 1 Topics Generator Curves Economic Dispatch (ED) Formulation ED (No Generator Limits, No Losses) ED (No Losses) ED Example
More informationContents Economic dispatch of thermal units
Contents 2 Economic dispatch of thermal units 2 2.1 Introduction................................... 2 2.2 Economic dispatch problem (neglecting transmission losses)......... 3 2.2.1 Fuel cost characteristics........................
More information04-Economic Dispatch 2. EE570 Energy Utilization & Conservation Professor Henry Louie
04-Economic Dispatch EE570 Energy Utilization & Conservation Professor Henry Louie 1 Topics Example 1 Example Dr. Henry Louie Consider two generators with the following cost curves and constraints: C 1
More informationECG 740 GENERATION SCHEDULING (UNIT COMMITMENT)
1 ECG 740 GENERATION SCHEDULING (UNIT COMMITMENT) 2 Unit Commitment Given a load profile, e.g., values of the load for each hour of a day. Given set of units available, When should each unit be started,
More informationSolving the Unit Commitment Problem Using Fuzzy Logic
Solving the Unit Commitment Problem Using Fuzzy Logic Assad Abu-Jasser Abstract This paper presents an application of the fuzzy logic to the unit commitment problem in order to find a generation scheduling
More information3 Unit Commitment. H, = P P5 MBtu/h 5.1 INTRODUCTION EXAMPLE 5A. Unit 1: Unit 3:
3 Unit Commitment 5.1 INTRODUCTION Because human activity follows cycles, most systems supplying services to a large population will experience cycles. This includes transportation systems, communication
More informationTotal Market Demand Wed Jan 02 Thu Jan 03 Fri Jan 04 Sat Jan 05 Sun Jan 06 Mon Jan 07 Tue Jan 08
MW This report provides a summary of key market data from the IESO-administered markets. It is intended to provide a quick reference for all market stakeholders. It is composed of two sections: Section
More informationUNIT-I ECONOMIC OPERATION OF POWER SYSTEM-1
UNIT-I ECONOMIC OPERATION OF POWER SYSTEM-1 1.1 HEAT RATE CURVE: The heat rate characteristics obtained from the plot of the net heat rate in Btu/Wh or cal/wh versus power output in W is shown in fig.1
More informationVOL. 2, NO. 11, Dec 2012 ISSN ARPN Journal of Science and Technology All rights reserved.
Implementing Fuzzy-Logic to Solve the Unit-Commitment Problem of a Ten-Unit Thermal Generation Plant 1 Assad Abu-Jasser, 2 Mohammed M. Hijjo 1,2 Electrical Engineering Department, the Islamic University
More informationA Simplified Lagrangian Method for the Solution of Non-linear Programming Problem
Chapter 7 A Simplified Lagrangian Method for the Solution of Non-linear Programming Problem 7.1 Introduction The mathematical modelling for various real world problems are formulated as nonlinear programming
More informationEconomic Operation of Power Systems
Economic Operation of Power Systems Section I: Economic Operation Of Power System Economic Distribution of Loads between the Units of a Plant Generating Limits Economic Sharing of Loads between Different
More informationMulti-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network
Multi-Area Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network Anthony Papavasiliou Center for Operations Research and Econometrics Université catholique de Louvain,
More informationOptimal Operation of Large Power System by GA Method
Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS) (1): 1-7 Scholarlink Research Institute Journals, 01 (ISSN: 11-7016) jeteas.scholarlinkresearch.org Journal of Emerging Trends in
More informationNet Export Rule 1 : Deriving the generation value of storage device G(t)
Net Export Rule 1 : Deriving the generation value of storage device G(t) G(t) nx = n i=1 G(i, t) min{0, N(i, t)} Where, i = 1,2, n location G(i, t) storage device generation metered output at location
More informationPerfect and Imperfect Competition in Electricity Markets
Perfect and Imperfect Competition in Electricity Marets DTU CEE Summer School 2018 June 25-29, 2018 Contact: Vladimir Dvorin (vladvo@eletro.dtu.d) Jalal Kazempour (seyaz@eletro.dtu.d) Deadline: August
More informationLINEAR PROGRAMMING APPROACH FOR THE TRANSITION FROM MARKET-GENERATED HOURLY ENERGY PROGRAMS TO FEASIBLE POWER GENERATION SCHEDULES
LINEAR PROGRAMMING APPROACH FOR THE TRANSITION FROM MARKET-GENERATED HOURLY ENERGY PROGRAMS TO FEASIBLE POWER GENERATION SCHEDULES A. Borghetti, A. Lodi 2, S. Martello 2, M. Martignani 2, C.A. Nucci, A.
More informationPower Engineering II. Fundamental terms and definitions
Fundamental terms and definitions Power engineering A scientific discipline that focuses on: Generation of electrical energy (EE) Transmission and distribution of EE Consumption of EE Power grid operation
More informationOn Optimal Power Flow
On Optimal Power Flow K. C. Sravanthi #1, Dr. M. S. Krishnarayalu #2 # Department of Electrical and Electronics Engineering V R Siddhartha Engineering College, Vijayawada, AP, India Abstract-Optimal Power
More informationRecent Advances in Knowledge Engineering and Systems Science
Optimal Operation of Thermal Electric Power Production System without Transmission Losses: An Alternative Solution using Artificial eural etworks based on External Penalty Functions G.J. TSEKOURAS, F.D.
More informationDraft Wholesale Power Price Forecasts
Sixth & Electric Power Plan Draft Wholesale Power Price Forecasts Maury Galbraith Generating Resource Advisory Committee Meeting Portland, OR December 18, 28 Outline 1. Overall Perspective: Major AURORA
More informationECE 476. Exam #2. Tuesday, November 15, Minutes
Name: Answers ECE 476 Exam #2 Tuesday, November 15, 2016 75 Minutes Closed book, closed notes One new note sheet allowed, one old note sheet allowed 1. / 20 2. / 20 3. / 20 4. / 20 5. / 20 Total / 100
More informationMATH 109 SAMPLE FINAL EXAM SPRING 2016
MATH 09 SAMPLE FINAL EXAM SPRING 0. Find an equation of the line, passing through the point (, ), whose graph is parallel to the graph of the line passing through (-, -) and (, ). a) y b) y c) y (/ ) d)
More informationExample 1 Example 2 Example 3. Example 4 Example 5
Section 7 5: Solving Radical Equations Radical Equations are equations that have a radical expression in one or more of the terms in the equation. Most of the radicals equations in the section will involve
More information, and ignoring all load currents, determine
ECE43 Test 3 Dec 8, 5 Q. (33 pts.) The Zbus for the above 3-bus network with bus as reference, in per unit, is given to be 3.87 j.798 j.8 j Z.798 j.87 j.8 j bus.8 j.8 j j Assuming that the prefault values
More information5.6 Solving Equations Using Both the Addition and Multiplication Properties of Equality
5.6 Solving Equations Using Both the Addition and Multiplication Properties of Equality Now that we have studied the Addition Property of Equality and the Multiplication Property of Equality, we can solve
More informationNSP Electric - Minnesota Annual Report Peak Demand and Annual Electric Consumption Forecast
Page 1 of 5 7610.0320 - Forecast Methodology NSP Electric - Minnesota Annual Report Peak Demand and Annual Electric Consumption Forecast OVERALL METHODOLOGICAL FRAMEWORK Xcel Energy prepared its forecast
More informationDecomposition Techniques in Mathematical Programming
Antonio J. Conejo Enrique Castillo Roberto Minguez Raquel Garcia-Bertrand Decomposition Techniques in Mathematical Programming Engineering and Science Applications Springer Contents Part I Motivation and
More informationOPTIMAL DISPATCH OF REAL POWER GENERATION USING PARTICLE SWARM OPTIMIZATION: A CASE STUDY OF EGBIN THERMAL STATION
OPTIMAL DISPATCH OF REAL POWER GENERATION USING PARTICLE SWARM OPTIMIZATION: A CASE STUDY OF EGBIN THERMAL STATION Onah C. O. 1, Agber J. U. 2 and Ikule F. T. 3 1, 2, 3 Department of Electrical and Electronics
More informationPb1 y13 =-j10 Pb5. Pb4. y34 =-j10
EE 55, Exam, Take-home. Due Monday, April, 06, 5:00pm. You may use class notes or any reference materials (e.g., books, etc.) that you like; however, you must work alone, i.e., you should not be communicating
More information56:270 Final Exam - May
@ @ 56:270 Linear Programming @ @ Final Exam - May 4, 1989 @ @ @ @ @ @ @ @ @ @ @ @ @ @ Select any 7 of the 9 problems below: (1.) ANALYSIS OF MPSX OUTPUT: Please refer to the attached materials on the
More informationElectrical Power and Energy Systems
Electrical Power and Energy Systems 44 (2013) 880 888 Contents lists available at SciVerse ScienceDirect Electrical Power and Energy Systems journal homepage: www.elsevier.com/locate/ijepes Profit based
More informationIntegrated PSO-SQP technique for Short-term Hydrothermal Scheduling
Integrated PSO-SQP technique for Short-term Hydrothermal Scheduling Shashank Gupta 1, Nitin Narang 2 Abstract his paper presents short-term fixed and variable head hydrotherml scheduling. An integrated
More informationOptimization Basics for Electric Power Markets
Optimization Basics for Electric Power Markets Presenter: Leigh Tesfatsion Professor of Econ, Math, and ECpE Iowa State University Ames, Iowa 50011-1070 http://www.econ.iastate.edu/tesfatsi/ tesfatsi@iastate.edu
More informationMATH 2050 Assignment 4 Fall Due: Thursday. u v v 2 v = P roj v ( u) = P roj u ( v) =
MATH 5 Assignment 4 Fall 8 Due: Thursday [5]. Let u = and v =. Find the projection of u onto v; and the projection of v onto u respectively. ANS: The projection of u onto v is P roj v ( u) = u v v. Note
More informationRD1 - Page 469 of 578
DOCKET NO. 45524 APPLICATION OF SOUTHWESTERN PUBLIC SERVICE COMPANY FOR AUTHORITY TO CHANGE RATES PUBLIC UTILITY COMMISSION OF TEXAS DIRECT TESTIMONY of JANNELL E. MARKS on behalf of SOUTHWESTERN PUBLIC
More informationThermal Unit Commitment
Thermal Unit Commitment Dr. Deepak P. Kadam Department of Electrical Engineering, Sandip Foundation, Sandip Institute of Engg. & MGMT, Mahiravani, Trimbak Road, Nashik- 422213, Maharashtra, India Abstract:
More informationSystems Operations. PRAMOD JAIN, Ph.D. Consultant, USAID Power the Future. Astana, September, /6/2018
Systems Operations PRAMOD JAIN, Ph.D. Consultant, USAID Power the Future Astana, September, 26 2018 7/6/2018 Economics of Grid Integration of Variable Power FOOTER GOES HERE 2 Net Load = Load Wind Production
More informationStochastic Dual Dynamic Programming with CVaR Risk Constraints Applied to Hydrothermal Scheduling. ICSP 2013 Bergamo, July 8-12, 2012
Stochastic Dual Dynamic Programming with CVaR Risk Constraints Applied to Hydrothermal Scheduling Luiz Carlos da Costa Junior Mario V. F. Pereira Sérgio Granville Nora Campodónico Marcia Helena Costa Fampa
More informationWind Integration Study for Public Service of Colorado Addendum Detailed Analysis of 20% Wind Penetration
Final Report: Wind Integration Study for Public Service of Colorado Addendum Detailed Analysis of 2% Wind Penetration Prepared for Xcel Energy 55 15th Street Denver, Colorado 822 c/o Mr. Tom Ferguson thomas.f.ferguson@xcelenergy.com
More informationDynamic Programming. Problem Sheets
Dynamic Programming Department of Mathematics and Statistics Courses: Discrete Programming and Game Theory & Dynamic and Integer Programming and Game Theory Lecturer: Andreas Grothey, JCMB 6215, email:
More informationMulti-Area Stochastic Unit Commitment for High Wind Penetration
Multi-Area Stochastic Unit Commitment for High Wind Penetration Workshop on Optimization in an Uncertain Environment Anthony Papavasiliou, UC Berkeley Shmuel S. Oren, UC Berkeley March 25th, 2011 Outline
More informationAdvance signals that can be used to foresee demand response days PJM SODRTF - March 9, 2018
Advance signals that can be used to foresee demand response days PJM SODRTF - March 9, 2018 1 OVERVIEW BGE s load response programs are split between two programs Peak Rewards and Smart Energy Rewards
More informationLetter. (A) Show that the following relationship must hold among V 0, R, and 0. for the marble to slide to a complete stop: (3 pts) 2 V=0
Letter Comprehensive Exam Session III Classical echanics Physics Department- Proctor: Dr. Drake itchell (Sun. Jan 12 th, 2014) (3 hours long 1:00 to 4:00 P) If you cannot solve the whole problem, write
More informationIEEE 2011 Electrical Power and Energy Conference
Outline Short-Term Hydro-Thermal Scheduling Problem Operating Cost & Emission Minimization Bacterial Foraging Algorithm Improved Bacterial Foraging Algorithm Simulation Results Conclusions To use up the
More informationExercise Dr.-Ing. Abdalkarim Awad. Informatik 7 Rechnernetze und Kommunikationssysteme
Exercise1 1.10.015 Informatik 7 Rechnernetze und Kommunikationssysteme Review of Phasors Goal of phasor analysis is to simplify the analysis of constant frequency ac systems v(t) = max cos(wt + q v ) i(t)
More informationDesign and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras
Design and Optimization of Energy Systems Prof. C. Balaji Department of Mechanical Engineering Indian Institute of Technology, Madras Lecture - 31 Fibonacci search method So, I am continuing with our treatment
More informationSOULTION TO CONSTRAINED ECONOMIC LOAD DISPATCH
SOULTION TO CONSTRAINED ECONOMIC LOAD DISPATCH SANDEEP BEHERA (109EE0257) Department of Electrical Engineering National Institute of Technology, Rourkela SOLUTION TO CONSTRAINED ECONOMIC LOAD DISPATCH
More informationCHAPTER 3 FUZZIFIED PARTICLE SWARM OPTIMIZATION BASED DC- OPF OF INTERCONNECTED POWER SYSTEMS
51 CHAPTER 3 FUZZIFIED PARTICLE SWARM OPTIMIZATION BASED DC- OPF OF INTERCONNECTED POWER SYSTEMS 3.1 INTRODUCTION Optimal Power Flow (OPF) is one of the most important operational functions of the modern
More informationMATH 9 YEAR END REVIEW
Name: Block: MATH 9 YEAR END REVIEW Complete the following reviews in pencil. Use a separate piece of paper if you need more space. Please pay attention to whether you can use a calculator or not for each
More informationGenetic Algorithm for Solving the Economic Load Dispatch
International Journal of Electronic and Electrical Engineering. ISSN 0974-2174, Volume 7, Number 5 (2014), pp. 523-528 International Research Publication House http://www.irphouse.com Genetic Algorithm
More informationARTIFICIAL BEE COLONY ALGORITHM FOR PROFIT BASED UNIT COMMITMENT USING MODIFIED PRE-PREPARED POWER DEMAND TABLE
ARTIFICIAL BEE COLONY ALGORITHM FOR PROFIT BASED UNIT COMMITMENT USING MODIFIED PRE-PREPARED POWER DEMAND TABLE Kuldip Deka 1, Dr. Barnali Goswami 2 1M.E. student, Assam Engineering College 2Associate
More informationCongestion Management in a Smart Grid via Shadow Prices
Congestion Management in a Smart Grid via Shadow Prices Benjamin Biegel, Palle Andersen, Jakob Stoustrup, Jan Bendtsen Systems of Systems October 23, 2012 1 This presentation use of distributed Receding
More informationColorado PUC E-Filings System
Page 1 of 10 30-Minute Flex Reserve on the Public Service Company of Colorado System Colorado PUC E-Filings System Prepared by: Xcel Energy Services, Inc. 1800 Larimer St. Denver, Colorado 80202 May 13,
More informationUnit Commitment Using Soft Computing Techniques
International Journal of Electrical Engineering. ISSN 0974-2158 Volume 8, Number 3 (2015), pp. 289-299 International Research Publication House http://www.irphouse.com Unit Commitment Using Soft Computing
More informationCHAPTER 5 - QUEENSLAND FORECASTS
CHAPTER 5 - QUEENSLAND FORECASTS Summary This chapter presents information about annual energy, maximum demand (summer and winter), and nonscheduled generation for the Queensland region. It also includes
More informationSOLUTION TO ECONOMIC LOAD DISPATCH USING PSO
SOLUTION TO ECONOMIC LOAD DISPATCH USING PSO A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology in Electrical Engineering By MAHESH PRASAD MISHRA,108ee007
More informationMultivariate Regression Model Results
Updated: August, 0 Page of Multivariate Regression Model Results 4 5 6 7 8 This exhibit provides the results of the load model forecast discussed in Schedule. Included is the forecast of short term system
More informationMinimization of load shedding by sequential use of linear programming and particle swarm optimization
Turk J Elec Eng & Comp Sci, Vol.19, No.4, 2011, c TÜBİTAK doi:10.3906/elk-1003-31 Minimization of load shedding by sequential use of linear programming and particle swarm optimization Mehrdad TARAFDAR
More informationModelling wind power in unit commitment models
Modelling wind power in unit commitment models Grid integration session IEA Wind Task 25 Methodologies to estimate wind power impacts to power systems Juha Kiviluoma, Hannele Holttinen, VTT Technical Research
More informationApplying High Performance Computing to Multi-Area Stochastic Unit Commitment
Applying High Performance Computing to Multi-Area Stochastic Unit Commitment IBM Research Anthony Papavasiliou, Department of Mathematical Engineering, CORE, UCL Shmuel Oren, IEOR Department, UC Berkeley
More information(f(x) P 3 (x)) dx. (a) The Lagrange formula for the error is given by
1. QUESTION (a) Given a nth degree Taylor polynomial P n (x) of a function f(x), expanded about x = x 0, write down the Lagrange formula for the truncation error, carefully defining all its elements. How
More informationEquations by Addition or Subtraction
Lesson 8.4 Objectives Solve systems of linear equations by addition or subtraction. Solving Systems of Equations by Addition or Subtraction Nancy and Jim are team leaders at a computer chip manufacturing
More informationRecent US Wind Integration Experience
Wind Energy and Grid Integration Recent US Wind Integration Experience J. Charles Smith Nexgen Energy LLC Utility Wind Integration Group January 24-25, 2006 Madrid, Spain Outline of Topics Building and
More informationA Unified Framework for Defining and Measuring Flexibility in Power System
J A N 1 1, 2 0 1 6, A Unified Framework for Defining and Measuring Flexibility in Power System Optimization and Equilibrium in Energy Economics Workshop Jinye Zhao, Tongxin Zheng, Eugene Litvinov Outline
More informationTHE STOCHASTIC UNIT COMMITMENT PROBLEM: A CHANCE CONSTRAINED PROGRAMMING APPROACH CONSIDERING EXTREME MULTIVARIATE TAIL PROBABILITIES
THE STOCHASTIC UNIT COMMITMENT PROBLEM: A CHANCE CONSTRAINED PROGRAMMING APPROACH CONSIDERING EXTREME MULTIVARIATE TAIL PROBABILITIES by Uḡur Aytun Öztürk B.S. in I.E. & O.R., University of California,
More informationLecture - 02 Rules for Pinch Design Method (PEM) - Part 02
Process Integration Prof. Bikash Mohanty Department of Chemical Engineering Indian Institute of Technology, Roorkee Module - 05 Pinch Design Method for HEN synthesis Lecture - 02 Rules for Pinch Design
More informationLESSON 8: Power Pellets! Nuclear Energy in the United States
LESSON 8: Power Pellets! TEACHER BACKGROUND Overview: Various forms of energy power our schools, businesses, hospitals, and factories. One of our Nation's most important sources of energy is nuclear power,
More informationAP Physics 1 Summer Assignment
AP Physics 1 Summer Assignment This summer assignment is for students enrolled in AP Physics 1 for the upcoming school year. You do not need any prerequisite physics knowledge to do this work. HOWEVER,
More informationGeometry Placement Exam Review Revised 2017 Maine East High School
Geometry Placement Exam Review Revised 017 Maine East High School The actual placement exam has 91 questions. The placement exam is free response students must solve questions and write answer in space
More informationMODELLING OF LOADS IN POWER
MODELLING OF LOADS IN POWER FLOW ANALYSIS SIBASISH KANUNGO (109EE0274) Department of Electrical Engineering National Institute of Technology Rourkela 1 MODELLING OF LOADS IN POWER FLOW ANALYSIS A Thesis
More informationGRADUATE RECORD EXAMINATIONS. Math Review. Chapter 2: Algebra
GRADUATE RECORD EXAMINATIONS Math Review Chapter 2: Algebra Copyright 2010 by Educational Testing Service. All rights reserved. ETS, the ETS logo, GRADUATE RECORD EXAMINATIONS, and GRE are registered trademarks
More informationMulti Objective Economic Load Dispatch problem using A-Loss Coefficients
Volume 114 No. 8 2017, 143-153 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Multi Objective Economic Load Dispatch problem using A-Loss Coefficients
More informationECONOMIC OPERATION OF POWER SYSTEMS USING HYBRID OPTIMIZATION TECHNIQUES
SYNOPSIS OF ECONOMIC OPERATION OF POWER SYSTEMS USING HYBRID OPTIMIZATION TECHNIQUES A THESIS to be submitted by S. SIVASUBRAMANI for the award of the degree of DOCTOR OF PHILOSOPHY DEPARTMENT OF ELECTRICAL
More informationObjective. The student will be able to: solve systems of equations using elimination with multiplication. SOL: A.9
Objective The student will be able to: solve systems of equations using elimination with multiplication. SOL: A.9 Designed by Skip Tyler, Varina High School Solving Systems of Equations So far, we have
More informationDEPARTMENT OF MANAGEMENT AND ECONOMICS Royal Military College of Canada. ECE Modelling in Economics Instructor: Lenin Arango-Castillo
Page 1 of 5 DEPARTMENT OF MANAGEMENT AND ECONOMICS Royal Military College of Canada ECE 256 - Modelling in Economics Instructor: Lenin Arango-Castillo Final Examination 13:00-16:00, December 11, 2017 INSTRUCTIONS
More informationCapacity Scarcity Condition Monday, September 3, 2018 Two primary factors led to the implementation of OP 4 event Significant generation outages and r
S E P T E M B E R 1 2, 2 0 1 8 September 3 OP-4 Event and Capacity Scarcity Condition Vamsi Chadalavada E X E C U T I V E V I C E P R E S I D E N T A N D C H I E F O P E R A T I N G O F F I C E R Capacity
More informationThe Transportation Problem
CHAPTER 12 The Transportation Problem Basic Concepts 1. Transportation Problem: BASIC CONCEPTS AND FORMULA This type of problem deals with optimization of transportation cost in a distribution scenario
More informationEnergy System Modelling Summer Semester 2018, Lecture 7
Energy System Modelling Summer Semester 2018, Lecture 7 Dr. Tom Brown, tom.brown@kit.edu, https://nworbmot.org/ Karlsruhe Institute of Technology (KIT), Institute for Automation and Applied Informatics
More informationChapter 2 Solutions of Equations of One Variable
Chapter 2 Solutions of Equations of One Variable 2.1 Bisection Method In this chapter we consider one of the most basic problems of numerical approximation, the root-finding problem. This process involves
More informationTight and Compact MILP Formulation for the Thermal Unit Commitment Problem
Online Companion for Tight and Compact MILP Formulation for the Thermal Unit Commitment Problem Germán Morales-España, Jesus M. Latorre, and Andres Ramos Universidad Pontificia Comillas, Spain Institute
More information2019 Integrated Resource Plan Stakeholder Workshop #3
2019 Integrated Resource Plan Stakeholder Workshop #3 Updated Slide Deck February 19, 2019 February 21, 2019 I&M Main Office 110 East Wayne Street Fort Wayne, IN 46802 TO ACCESS THIS EVENT: 1. Go to: http://aep.adobeconnect.com/share/
More informationRelationships between Load, Speed Regulation and Frequency. Slope= -R
elationships between Load, Speed egulation and Frequency Governor Speed characteristic Slope= - Slope=1/D D=2 Frequency-sensitive Load Characteristic Frequency-insensitive Load Characteristic If D (more
More informationTutorial 2: Modelling Transmission
Tutorial 2: Modelling Transmission In our previous example the load and generation were at the same bus. In this tutorial we will see how to model the transmission of power from one bus to another. The
More informationUC DAVIS. Circuits I Course Outline
UC DAVIS Circuits I Course Outline ENG 17 Professor Spencer Fall 2010 2041 Kemper Hall Lecture: MWF 4:10-5:00, 1003 Giedt Hall 752-6885 Discussion Section 1: W 1:10-2:00, 55 Roessler CRN: 61417 Discussion
More informationWelcome to Chemistry! Sept 11, 2015 Friday
Welcome to Chemistry! Sept 11, 2015 Friday DO NOW: How many sig figs in this number? 2001.1109 Round this number to 3 sig figs...... Objectives: 1. Quantitative Tools for Chemistry: complete calculations
More informationQualitative analysis of differential equations: Part I
Qualitative analysis of differential equations: Part I Math 12 Section 16 November 7, 216 Hi, I m Kelly. Cole is away. Office hours are cancelled. Cole is available by email: zmurchok@math.ubc.ca. Today...
More informationEnergy Forecasting Customers: Analysing end users requirements Dec 3rd, 2013 Carlos Alberto Castaño, PhD Head of R&D
IT Solutions for Renewables Energy Forecasting Customers: Analysing end users requirements Dec 3rd, 2013 Carlos Alberto Castaño, PhD Head of R&D carlos.castano@gnarum.com I. Who we are II. Customers Profiles
More informationCoordinated Multilateral Trades for Electric Power Networks: Theory and Implementation. Felix F. Wu and Pravin Varaiya
PWP-031 Coordinated Multilateral Trades for Electric Power Networks: Theory and Implementation Felix F. Wu and Pravin Varaiya June 1995 This paper is part of the working papers series of the Program on
More informationUnit Commitment Using Hybrid Gravitational Search Algorithm
Unit Commitment Using Hybrid Gravitational Search Algorithm Shivani Mehta 1, Gourav Kumar 2 Assistant Professor 1, Student, Master of Technology 2 Department of Electrical Engineering, D.A.V.I.E.T., Jalandhar,
More informationCONSTRAINED OPTIMIZATION LARS IMSLAND
Introduction to course TTK16 Mixed integer optimization in energy and oil and gas systems CONSTRAINED OPTIMIZATION LARS IMSLAND TTK16 overview This introduction lecture One week intensive course Starting
More informationStochastic Integer Programming
IE 495 Lecture 20 Stochastic Integer Programming Prof. Jeff Linderoth April 14, 2003 April 14, 2002 Stochastic Programming Lecture 20 Slide 1 Outline Stochastic Integer Programming Integer LShaped Method
More informationInSchedule File Upload Definition
InSchedule File Upload Definition Jennifer Long Sr Business Analyst PJM Interconnection PJM 2012 I. Purpose This document identifies the file upload process for the InSchedule application. It will discuss
More informationApplication of Artificial Neural Network in Economic Generation Scheduling of Thermal Power Plants
Application of Artificial Neural Networ in Economic Generation Scheduling of Thermal ower lants Mohammad Mohatram Department of Electrical & Electronics Engineering Sanjay Kumar Department of Computer
More informationReal-Time Optimization (RTO)
Real-Time Optimization (RTO) In previous chapters we have emphasized control system performance for disturbance and set-point changes. Now we will be concerned with how the set points are specified. In
More informationReteach Simplifying Algebraic Expressions
1-4 Simplifying Algebraic Expressions To evaluate an algebraic expression you substitute numbers for variables. Then follow the order of operations. Here is a sentence that can help you remember the order
More informationMath 4: Advanced Algebra Ms. Sheppard-Brick B Quiz Review Learning Targets
5B Quiz Review Learning Targets 4.6 5.9 Key Facts We learned two ways to solve a system of equations using algebra: o The substitution method! Pick one equation and solve for either x or y! Take that result
More informationMATH 373 Section A1. Final Exam. Dr. J. Bowman 17 December :00 17:00
MATH 373 Section A1 Final Exam Dr. J. Bowman 17 December 2018 14:00 17:00 Name (Last, First): Student ID: Email: @ualberta.ca Scrap paper is supplied. No notes or books are permitted. All electronic equipment,
More informationJennie F. Snapp Math Lesson Plans 6 th Grade Date: December 31-4, Notes Topic & Standard Objective Homework Monday
Date: December 31-4, 2019 No School No School Exponents 6.EE.1 Write and evaluate numerical expressions involving whole number exponents. Exponents Orders of Operations Students will write expressions
More informationThe Spatial Analysis of Wind Power on Nodal Prices in New Zealand
The Spatial Analysis of Wind Power on Nodal Prices in New Zealand Le Wen Research Fellow Energy Centre The University of Auckland l.wen@auckland.ac.nz 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983
More informationIBM Research Report. Stochasic Unit Committment Problem. Julio Goez Lehigh University. James Luedtke University of Wisconsin
RC24713 (W0812-119) December 23, 2008 Mathematics IBM Research Report Stochasic Unit Committment Problem Julio Goez Lehigh University James Luedtke University of Wisconsin Deepak Rajan IBM Research Division
More information