IEEE 2011 Electrical Power and Energy Conference
|
|
- Juliana Douglas
- 5 years ago
- Views:
Transcription
1
2 Outline Short-Term Hydro-Thermal Scheduling Problem Operating Cost & Emission Minimization Bacterial Foraging Algorithm Improved Bacterial Foraging Algorithm Simulation Results Conclusions
3 To use up the maximum amount of available hydroelectric energy so that the operating cost of the thermal plants is minimum.
4 Hydro-thermal generation system Source: A.J. Wood, B.F. Wollenberg, Power Generation, Operation and Control, 2nd ed., John Wiley & Sons, Inc., New York, NY, 1996 Hydro-thermal Scheduling Source: A.J. Wood, B.F. Wollenberg, Power Generation, Operation and Control, 2nd ed., John Wiley & Sons, Inc., New York, NY, 1996
5
6
7 M : number of objective functions W k : weight assigned to the k th objective
8
9
10
11 Characteristic equation of the discharge rate q jk :discharge rate coefficients F 1 : cost function over scheduling time intervals N k F 2 : NO x emission function over scheduling time intervals N k F 3 : SO 2 emission function over scheduling time intervals N k F 4 : CO 2 emission function over scheduling time intervals N k n k : number of hours in scheduling time interval k a i, b i, c i : cost coefficients of the i th thermal unit d i, e i, f i : emission coefficients
12 In nature, different species of animals search for nutrients in such a way that they maximize the energy they obtain (E ) and minimize time (T ) they spent on their search This means that they intend to maximize the following objective function: This search is subject to various obstacles and constraints such as the environmental and physiological constraints and the existence of predators
13 Source: T. Audesirk and G. Audesirk, Biology: Life on Earth, Prentice Hall, Englewood Cliffs, NJ, 5th edition, 1999.
14 Chemotactic movement: -Swimming up nutrient gradient (or out of noxious substances) -Tumbling Reproduction: Elimination/ Dispersal -To explore other parts of the search space -The probability of each bacterium to experience elimination/ dispersal event is determined by a predefined fraction
15 Start Initialization of variables: j=k=l=0 Elimination/Dispersal Loop: l=l+1 No l<ned Yes Reproduction Loop: k=k+1 Terminate Compute J (i,j,k,l): J(i,j,k,l)=J(i,j,k,l)+Jcc(θ i (j,k,l),p(j,k,l)) Jlast=J(i,j,k,l) Compute θ i (j+1,k,l): θ i (j+1,k,l)=θ i (j,k,l)+c(i)ɸ(i) Compute J (i,j+1,k,l): J(i,j+1,k,l)=J(i,j+1,k,l)+Jcc(θ i (j+1,k,l),p(j+1,k,l)) Swim: m=0 (counter for swim length) m=m+1 No k<nre Yes Chemotactic Loop: j=j+1 No j<nc Yes J(i,j+1,k,l)< Jlast Yes Jlast=J(i,j+1,k,l) Let θ i (j+1,k,l): θ i (j+1,k,l)=θ i (j+1,k,l)+c(i)ɸ(i) J(i,j+1,k,l)=J(i,j+1,k,l)+Jcc(θ i (j+1,k,l),p(j+1,k,l)) Yes m<ns No No Tumble: m=ns
16 Unit length of the chemotactic step is modified to have a decreasing function in terms of the maximum and initial chemotactic step j : chemotactic step Nc : maximum number of chemotactic steps while C(Nc) and C(1): predefined parameters
17 The IBFA is applied to find the optimal scheduling of a hydro-thermal generation system The system consists of 2 thermal and 2 hydro plants Minimization of the NOx, SOx and COx emissions are considered
18 Coefficients for cost and emission functions Cost F 1 ($/h) Generator Objective Coefficient 1 2 a b c NO X SO 2 CO 2 F 2 (kg/h) F 3 (kg/h) F 4 (kg/h ) d e f d e f d e f
19 B-coefficient matrix
20 Load demand Hour P D MW Hour P D MW Hour P D MW Hour P D MW Water discharge rate
21 Case 1: Optimization of each of the objectives individually Min F 1 ($) Min F 2 (kg) Min F 3 (kg) Min F 4 (kg) F 1 ($) F 2 (kg) F 3 (kg) F 4 (kg) Hourly generation schedule and demand (Minimizing F1) PD Pg1 Pg2 PH1 PH2 Power (MW) Time interval
22 Case 2: Optimization of fuel cost and emissions: Non-dominated solutions Solution Weight Objective No. w 1 w 2 w 3 w 4 F 1 ($) F 2 (kg) F 3 (kg) F 4 (kg)
23 An IBFA for solving the Multi-objective STHT scheduling problem considering the emission minimization has been introduced The algorithm applies a dynamic function to update the solution vector The proposed algorithm has been successfully implemented to solve this complex problem The algorithm could successfully find the optimum or near optimum solutions and capture the costemission trade-off relationships
24 Thanks!
IEEE 2011 Electrical Power and Energy Conference
Outline Economic Dispatch Problem Operating Cost & Emission Minimization Bacterial Foraging Algorithm Modified Bacterial Foraging Algorithm Simulation Results Conclusions 3 M : number of objective functions
More informationIMPLEMENTATION OF BACTERIAL FORAGING ALGORITHM AND GRAVITATIONAL SEARCH ALGORITHM FOR VOLTAGE PROFILE ENHANCEMENT WITH LOSS MINIMIZATION
Volume 115 No. 7 2017, 331-336 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu IMPLEMENTATION OF BACTERIAL FORAGING ALGORITHM AND GRAVITATIONAL SEARCH
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 informationDynamic Programming applied to Medium Term Hydrothermal Scheduling
, October 19-21, 2016, San Francisco, USA Dynamic Programming applied to Medium Term Hydrothermal Scheduling Thais G. Siqueira and Marcelo G. Villalva Abstract The goal of this work is to present a better
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 informationEffect of Varying Electrolyte Conductivity on the Electrochemical Behavior of Porous Electrodes
A984 Journal of The Electrochemical Society, 52 5 A984-A988 2005 003-465/2005/525/A984/5/$7.00 The Electrochemical Society, Inc. Effect of Varying Electrolyte Conductivity on the Electrochemical Behavior
More informationHere is what you will be able to do when you complete each objective: 1. State the general laws of static and kinetic friction.
Friction I Learning Outcome When you complete this module you will be able to: Describe and solve problems involving friction. Learning Objectives Here is what you will be able to do when you complete
More informationScienceDirect. ScienceDirec
CRX_ / CR X_ / Q Q Q Q : R J : / // / J : / / N K * Jk k G U U U U N k U NC U : R k R J R H k - - - - - H - K: R - H - - V V V R - V V V - - L L H H - - C L H j q C L H j q k k k X k R k k X L k k k -
More informationADVANCES IN BACTERIA MOTILITY MODELLING VIA DIFFUSION ADAPTATION
ADVANCES IN BACTERIA MOTILITY MODELLING VIA DIFFUSION ADAPTATION Sadaf Monajemi a, Saeid Sanei b, and Sim-Heng Ong c,d a NUS Graduate School for Integrative Sciences and Engineering, National University
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 informationOn the Application of Superposition to Dependent Sources in Circuit Analysis
1 On the Application of Superposition to Dependent Sources in Circuit Analysis W Marshall Leach, Jr c Copyright 1994-009 All rights reserved Abstract Many introductory circuits texts state or imply that
More informationMinimization of Energy Loss using Integrated Evolutionary Approaches
Minimization of Energy Loss using Integrated Evolutionary Approaches Attia A. El-Fergany, Member, IEEE, Mahdi El-Arini, Senior Member, IEEE Paper Number: 1569614661 Presentation's Outline Aim of this work,
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 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 informationSubmitted to 20th IEEE Conference on Decision and Control, San Diego, Ca. Dec Analytic Models of Multitask Processes* Timothy L.
Submitted to 20th IEEE Conference on Decision and Control, San Diego, Ca. Dec. 1981 20th CDC Analytic Models of Multitask Processes* Timothy L. Johnson Lecturer Senior Scientist Department of Electrical
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 informationScienceDirect. A Comparative Study of Solution of Economic Load Dispatch Problem in Power Systems in the Environmental Perspective
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 48 (2015 ) 96 100 International Conference on Intelligent Computing, Communication & Convergence (ICCC-2015) (ICCC-2014)
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 informationSolar Photovoltaic Technologies
Solar Photovoltaic Technologies Lecture-2 Prof. C.S. Solanki Energy Systems Engineering IIT Bombay Contents Brief summery of the previous lecture Solar PV as renewable energy source Topics covered in this
More informationSample Problems for Exam 1, EE Note:
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
More informationMulti-objective Emission constrained Economic Power Dispatch Using Differential Evolution Algorithm
Multi-objective Emission constrained Economic Power Dispatch Using Differential Evolution Algorithm Sunil Kumar Soni, Vijay Bhuria Abstract The main aim of power utilities is to provide high quality power
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 informationA Term Project report on. State Estimation of Power Systems Using Weighted Least Squares Optimization Technique
MA5630 Numerical Optimization Course Instructor: Prof. Allan A. Struthers A Term Project report on State Estimation of Power Systems Using Weighted Least Squares Optimization Technique Submitted by Alorf,
More informationBIOLOGY I. Chapter 4: Carbon and the Molecular Diversity of Life
BIOLOGY I Chapter 4: Carbon and the Molecular Diversity of Life Carbon and the Molecular Diversity of Life Carbon (C) accounts for the large diversity of biological molecules; it is the backbone of biological
More informationKILGORE COLLEGE BIOLOGY DEPARTMENT Biology 2404 Syllabus
COURSE: BIOL 2404 (4-3-3) TITLE: CATALOG DESCRIPTION: Biology for Health Sciences A broad spectrum introduction to the study of biology as it pertains to the allied health science occupations. Content
More informationDATA ASSIMILATION IN RIVER ICE FORECASTING
Ice in the Environment: Proceedings of the 6th IAHR International Symposium on Ice Dunedin, New Zealand, 2nd 6th December 2002 International Association of Hydraulic Engineering and Research DATA ASSIMILATION
More informationEnergy Balance Notes
1 Energy Balance Notes CM2110/CM3110 Professor Faith A. Morrison December 4, 2008 References 1. (FR) R. M. Felder, and R. W. Rousseau, Elementary Principles of Chemical Processe, 2 nd Edition (Wiley, NY:
More informationThe Newton-Raphson Algorithm
The Newton-Raphson Algorithm David Allen University of Kentucky January 31, 2013 1 The Newton-Raphson Algorithm The Newton-Raphson algorithm, also called Newton s method, is a method for finding the minimum
More informationPlant Pigments Chromatography
Plant Pigments Chromatography Gary Stacey Lab Teacher workshop, March 8, 2014 University of Missouri Division of Plant Sciences Plant pigments Pigments - chemical compounds which reflect only certain
More informationA Cognitive Nonlinear Fractional Order PID Neural Controller Design for Wheeled Mobile Robot based on Bacterial Foraging Optimization Algorithm
A.S. Al-Araji University of Technology, Control and Systems Engineering Department. Baghdad, Iraq. 60166@uotechnology.edu.iq A Cognitive Nonlinear Fractional Order PID Neural Controller Design for Wheeled
More informationArtificial Neural Network
Artificial Neural Network Contents 2 What is ANN? Biological Neuron Structure of Neuron Types of Neuron Models of Neuron Analogy with human NN Perceptron OCR Multilayer Neural Network Back propagation
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 informationVector analysis and vector identities by means of cartesian tensors
Vector analysis and vector identities by means of cartesian tensors Kenneth H. Carpenter August 29, 2001 1 The cartesian tensor concept 1.1 Introduction The cartesian tensor approach to vector analysis
More informationOptimal Placement of PMUs in Power Systems Using Mixed Integer Non Linear Programming and Bacterial Foraging Algorithm
150 ECTI TRANSACTIONS ON ELECTRICAL ENG., ELECTRONICS, AND COMMUNICATIONS VOL.9, NO.1 February 2011 Optimal Placement of PMUs in Power Systems Using Mixed Integer Non Linear Programming and Bacterial Foraging
More informationLecture 6 Simplex method for linear programming
Lecture 6 Simplex method for linear programming Weinan E 1,2 and Tiejun Li 2 1 Department of Mathematics, Princeton University, weinan@princeton.edu 2 School of Mathematical Sciences, Peking University,
More informationOptimal Distributed Generation and Capacitor placement in Power Distribution Networks for Power Loss Minimization
Optimal Distributed Generation and apacitor placement in Power Distribution Networs for Power Loss Minimization Mohamed Imran A School of Electrical Engineering VIT University Vellore, India mohamedimran.a@vit.ac.in
More informationNote. Design via State Space
Note Design via State Space Reference: Norman S. Nise, Sections 3.5, 3.6, 7.8, 12.1, 12.2, and 12.8 of Control Systems Engineering, 7 th Edition, John Wiley & Sons, INC., 2014 Department of Mechanical
More informationA Compact, Closed Form Solution for the Optimum, Ideal Wind Turbines
Department of Mechanical Engineering & Material Sciences A Compact, Closed Form Solution for the Optimum, Ideal Wind Turbines David A. Peters McDonnell Douglas Professor of Engineering dap@wustl.edu Ramin
More informationSolving Dense Linear Systems I
Solving Dense Linear Systems I Solving Ax = b is an important numerical method Triangular system: [ l11 l 21 if l 11, l 22 0, ] [ ] [ ] x1 b1 = l 22 x 2 b 2 x 1 = b 1 /l 11 x 2 = (b 2 l 21 x 1 )/l 22 Chih-Jen
More informationUNIT 6 STATICS AND TORQUE. Objectives. to be able to solve problems involving static equilibrium
to understand the concept of torque to be able to calculate torques UNIT 6 STATICS AND TORQUE Objectives to understand the concept of static equilibrium to be able to solve problems involving static equilibrium
More informationChaos and adaptive control in two prey, one predator system with nonlinear feedback
Chaos and adaptive control in two prey, one predator system with nonlinear feedback Awad El-Gohary, a, and A.S. Al-Ruzaiza a a Department of Statistics and O.R., College of Science, King Saud University,
More informationEECE Adaptive Control
EECE 574 - Adaptive Control Overview Guy Dumont Department of Electrical and Computer Engineering University of British Columbia Lectures: Thursday 09h00-12h00 Location: PPC 101 Guy Dumont (UBC) EECE 574
More informationResearch Article Simplified Robotics Joint-Space Trajectory Generation with a via Point Using a Single Polynomial
Robotics Volume, Article ID 75958, 6 pages http://dx.doi.org/.55//75958 Research Article Simplified Robotics Joint-Space Trajectory Generation with a via Point Using a Single Polynomial Robert L. Williams
More informationReview Article Bus Dispatching Interval Optimization Based on Adaptive Bacteria Foraging Algorithm
Mathematical Problems in Engineering Volume 20, Article ID 389086, 10 pages doi:10.1155/20/389086 Review Article Bus Dispatching Interval Optimization Based on Adaptive Bacteria Foraging Algorithm Zhong-hua
More informationMERIDIAN SECONDARY SCHOOL SCIENCE DEPARTMENT MID-YEAR EXAM Format BRING CALCULATOR FOR ALL YOUR PAPERS!
MID-YEAR EXAM 08 Subject: E Chemistry (609) Format Date Paper & Duration May 08 (Fri) 0 Multiple Choice 0 Section A Section B Free Response, last question in EITHER/OR 50 ( hour) May 08 (Fri) ( hour 5
More informationAppendix A Wirtinger Calculus
Precoding and Signal Shaping for Digital Transmission. Robert F. H. Fischer Copyright 0 2002 John Wiley & Sons, Inc. ISBN: 0-471-22410-3 Appendix A Wirtinger Calculus T he optimization of system parameters
More informationSETUP: creates the world based on the settings for each variable GO: starts and ends the simulation
Wolf Sheep Predation Simulation Double-click on NetLogo to open the program. Go to File..Models Library Click on the + next to Biology to show the drop-down menu. Select Wolf Sheep Predation and click
More informationLinear programming Dr. Arturo S. Leon, BSU (Spring 2010)
Linear programming (Adapted from Chapter 13 Supplement, Operations and Management, 5 th edition by Roberta Russell & Bernard W. Taylor, III., Copyright 2006 John Wiley & Sons, Inc. This presentation also
More informationDictionary Learning for L1-Exact Sparse Coding
Dictionary Learning for L1-Exact Sparse Coding Mar D. Plumbley Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom. Email: mar.plumbley@elec.qmul.ac.u
More informationBerge s Maximum Theorem
Berge s Maximum Theorem References: Acemoglu, Appendix A.6 Stokey-Lucas-Prescott, Section 3.3 Ok, Sections E.1-E.3 Claude Berge, Topological Spaces (1963), Chapter 6 Berge s Maximum Theorem So far, we
More informationNPTEL. Chemical Reaction Engineering 1 (Homogeneous Reactors) - Video course. Chemical Engineering.
NPTEL Syllabus Chemical Reaction Engineering 1 (Homogeneous Reactors) - Video course COURSE OUTLINE In simple terms, Chemical Engineering deals with the production of a variety of chemicals on large scale.
More informationSensitivity Analysis of a Mixed Integer Linear Programming Model For Optimal Hydrothermal Energy Generation For Ghana
Sensitivity Analysis of a Mixed Integer Linear Programming Model For Optimal Hydrothermal Energy Generation For Ghana Christian John Etwire, Stephen B. Twum Abstract: This paper examines further a Mixed
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 informationCO 602/CM 740: Fundamentals of Optimization Problem Set 4
CO 602/CM 740: Fundamentals of Optimization Problem Set 4 H. Wolkowicz Fall 2014. Handed out: Wednesday 2014-Oct-15. Due: Wednesday 2014-Oct-22 in class before lecture starts. Contents 1 Unique Optimum
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 informationLINE FLOW ANALYSIS OF IEEE BUS SYSTEM WITH THE LOAD SENSITIVITY FACTOR
LINE FLOW ANALYSIS OF IEEE BUS SYSTEM WITH THE LOAD SENSITIVITY FACTOR Puneet Sharma 1, Jyotsna Mehra 2, Virendra Kumar 3 1,2,3 M.Tech Research scholar, Galgotias University, Greater Noida, India Abstract
More informationBiology: Life on Earth
Teresa Audesirk Gerald Audesirk Bruce E. Byers Biology: Life on Earth Eighth Edition Lecture for Chapter 4 Cell Structure and Function Copyright 2008 Pearson Prentice Hall, Inc. Chapter 4 Outline 4.1 What
More informationScalars and Vectors I
Scalars and Vectors I Learning Outcome When you complete this module you will be able to: Define and identify scalar and vector quantities and solve simple vector problems graphically. Learning Objectives
More informationEFFICIENT SHAPE OPTIMIZATION USING POLYNOMIAL CHAOS EXPANSION AND LOCAL SENSITIVITIES
9 th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability EFFICIENT SHAPE OPTIMIZATION USING POLYNOMIAL CHAOS EXPANSION AND LOCAL SENSITIVITIES Nam H. Kim and Haoyu Wang University
More informationEcology and evolution. Limnology Lecture 2
Ecology and evolution Limnology Lecture 2 Outline Lab notebooks Quick and dirty ecology and evolution review The Scientific Method 1. Develop hypothesis (general models) Null hypothesis Alternative hypothesis
More informationHeterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels
ESANN'29 proceedings, European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning. Bruges Belgium), 22-24 April 29, d-side publi., ISBN 2-9337-9-9. Heterogeneous
More informationDesign Principles of a Bacterial Signalling Network
Design Principles of a Bacterial Signalling Network Why is chemotaxis more complicated than needed? Jens Timmer Freiburg Institute for Advanced Studies Center for Systems Biology Center for Data Analysis
More informationMulti level inventory management decisions with transportation cost consideration in fuzzy environment. W. Ritha, S.
Annals of Fuzzy Mathematics and Informatics Volume 2, No. 2, October 2011, pp. 171-181 ISSN 2093 9310 http://www.afmi.or.kr @FMI c Kyung Moon Sa Co. http://www.kyungmoon.com Multi level inventory management
More informationGeneral Chemistry I (CHE 1401)
General Chemistry I (CHE 1401) Spring 2011 Instructor: Dr. Samir El Hajjaji (s.elhajjaji@aui.ma) Office Location: Room 104, Building 5 Phone ext.: 28 Office Hours: M, T, R: 14:000-16:00 W: 09:00-12:00
More informationEconomic Load Dispatch Using Grey Wolf Optimization
RESEARCH ARTICLE OPEN ACCESS Economic Load Dispatch Using Grey Wolf Optimization Dr.Sudhir Sharma,Shivani Mehta, Nitish Chopra 3 Associate Professor, Assistant Professor, Student, Master of Technology
More informationFree Vibration of Single-Degree-of-Freedom (SDOF) Systems
Free Vibration of Single-Degree-of-Freedom (SDOF) Systems Procedure in solving structural dynamics problems 1. Abstraction/modeling Idealize the actual structure to a simplified version, depending on the
More informationButterworth Filter Properties
OpenStax-CNX module: m693 Butterworth Filter Properties C. Sidney Burrus This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 3. This section develops the properties
More information03-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 informationp(d θ ) l(θ ) 1.2 x x x
p(d θ ).2 x 0-7 0.8 x 0-7 0.4 x 0-7 l(θ ) -20-40 -60-80 -00 2 3 4 5 6 7 θ ˆ 2 3 4 5 6 7 θ ˆ 2 3 4 5 6 7 θ θ x FIGURE 3.. The top graph shows several training points in one dimension, known or assumed to
More informationOn Application Of Modified Gradient To Extended Conjugate Gradient Method Algorithm For Solving Optimal Control Problems
IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn:2319-765x. Volume 9, Issue 5 (Jan. 2014), PP 30-35 On Application Of Modified Gradient To Extended Conjugate Gradient Method Algorithm For
More informationUnit 2: Ecology. Big Idea...
Name: Block: Unit 2: Ecology Big Idea... The natural world is defined by organisms and life processes which conform to principles regarding conservation and transformation of matter and energy. Knowledge
More informationThe biomechanics of twisting somersaults. Part III: aerial twist
Loughborough University Institutional Repository The biomechanics of twisting somersaults. Part III: aerial twist This item was submitted to Loughborough University's Institutional Repository by the/an
More informationBranch-and-Bound Algorithm. Pattern Recognition XI. Michal Haindl. Outline
Branch-and-Bound Algorithm assumption - can be used if a feature selection criterion satisfies the monotonicity property monotonicity property - for nested feature sets X j related X 1 X 2... X l the criterion
More informationAngle contraction between geodesics
Angle contraction between geodesics arxiv:0902.0315v1 [math.ds] 2 Feb 2009 Nikolai A. Krylov and Edwin L. Rogers Abstract We consider here a generalization of a well known discrete dynamical system produced
More informationUnit 4 Cell Structure, Cell Processes, Cell Reproduction, and Homeostasis. Mrs. Stahl AP Biology
Unit 4 Cell Structure, Cell Processes, Cell Reproduction, and Homeostasis Mrs. Stahl AP Biology How cells first came about! http://ed.ted.com/lessons/the-wackyhistory-of-cell-theory Robert Hooke 1665 First
More informationClose Reading and Text Dependent Questions in Science Molecular Movement (Biology HS)
Close Reading and Text Dependent Questions in Science Molecular Movement (Biology HS) The text selection, Molecular Movement, can be found in BSCS Biology: A Human Approach, 2nd edition pgs. 226-227. Look
More informationAn Introduction to Geographic Information Systems (Fall, 2007)
GEOG 377 Introduction to Geographic Information Systems, Fall, 2007 Page: 1/6 GEOG 377: An Introduction to Geographic Information Systems (Fall, 2007) Instructor: A-Xing Zhu, 255 Science Hall Phone: 262-0272
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 informationCABRILLO COLLEGE : Spring 2012
CABRILLO COLLEGE : Spring 2012 BIOLOGY 1C: Plant Biology and Ecological Principles Instructor: Nicole Crane Office #620 Office hours: MW 2:40-4:00, Thursday 12:40-1:40 ph. 479-5094 e-mail: nicrane@cabrillo.edu
More informationCourse No: (1 st version: for graduate students) Course Name: Continuum Mechanics Offered by: Chyanbin Hwu
Course No: (1 st version: for graduate students) Course Name: Continuum Mechanics Offered by: Chyanbin Hwu 2011. 11. 25 Contents: 1. Introduction 1.1 Basic Concepts of Continuum Mechanics 1.2 The Need
More informationNOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or
NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying
More informationLinear Programming and the Simplex method
Linear Programming and the Simplex method Harald Enzinger, Michael Rath Signal Processing and Speech Communication Laboratory Jan 9, 2012 Harald Enzinger, Michael Rath Jan 9, 2012 page 1/37 Outline Introduction
More informationMin-max Transfer Capability: A New Concept
roceedings of the 34th Hawaii International Conference on System Sciences - 00 Min-max Transfer Capability: A New Concept D. Gan X. Luo D. V. Bourcier dgan@iso-ne.com xluo@iso-ne.com dbourcie@iso-ne.com
More informationFIXED HEAD ECONOMIC LOAD SCHEDULING OF HYDRO-THERMAL SYSTEM USING GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION METHOD
FIXED HEAD ECONOMIC LOAD SCHEDULING OF HYDRO- SYSTEM USING GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION METHOD Shikha Gupta 1, Achala Jain 2 Assistant professor, Dept. of EEE, CMRIT Institute of Technology,
More informationRobust Stability based PI Controller Design with Additive Uncertainty Weight for AGC (Automatic Generation Control) Application
International Journal of Electrical and Computer Engineering. ISSN 0974-2190 Volume 6, Number 1 (2014), pp. 35-46 International Research Publication House http://www.irphouse.com Robust Stability based
More informationC Spoke k. Spoke k+1
Numerical Accuracy Case Studies: D Rimless Spoked Wheel and a 3D Passive-Dynamic Model of Walking Michael J. Coleman Andy Ruina Anindya Chatterjee 1 Department of Theoretical and Applied Mechanics Cornell
More informationDepartment of Earth and Planetary Sciences. EPSC-220 Principles of Geochemistry Tentative Course Outline
Department of Earth and Planetary Sciences EPSC-220 Principles of Geochemistry Tentative Course Outline Fall term 2017 Lectures: Mondays and Wednesdays 11:35AM 12:25AM (FDA-315) Laboratory: Tuesdays 2:35PM-
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 informationGENERATION OF DIVERSE DYNAMIC BEHAVIORS USING THE EMERGENT DESIGN SYSTEM
GENERATION OF DIVERSE DYNAMIC BEHAVIORS USING THE EMERGENT DESIGN SYSTEM Koichiro Sato a, Kenjiro Takemura b and Yoshiyuki Matsuoka c Faculty of Science and Technology, Keio University, Yokohama, Japan
More informationA NEW PROPERTY AND A FASTER ALGORITHM FOR BASEBALL ELIMINATION
A NEW PROPERTY AND A FASTER ALGORITHM FOR BASEBALL ELIMINATION KEVIN D. WAYNE Abstract. In the baseball elimination problem, there is a league consisting of n teams. At some point during the season, team
More informationIntroduction: Biology Today
Chapter 1 Introduction: Biology Today 1 THE SCOPE OF LIFE The Properties of Life Biology is the scientific study of life. What is life? The study of biology encompasses a wide scale of size and a huge
More informationNew Artificial-Free Phase 1 Simplex Method
International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:09 No:10 69 New Artificial-Free Phase 1 Simplex Method Nasiruddin Khan, Syed Inayatullah*, Muhammad Imtiaz and Fozia Hanif Khan Department
More informationIntroduction to the mathematical modeling of multi-scale phenomena
Introduction to the mathematical modeling of multi-scale phenomena Diffusion Brownian motion Brownian motion (named after botanist Robert Brown) refers to the random motion of particles suspended in a
More information9 Week Review Biology. Magnolia High School 2015
9 Week Review Biology Magnolia High School 2015 What is the cellular process shown below? Phagocytosis The BEST choice to complete this concept map! Animal Cell or Plant Cell? PLANT Cell What is the function
More informationA THERMODYNAMIC MODEL OF MIAK BIODEGRADATION IN A BIOFILTER ABSTRACT
A THERMODYNAMIC MODEL OF MIAK BIODEGRADATION IN A BIOFILTER Hyun-Keun Son Department of Environment and Health, Kosin University hkson@kosin.ac.kr ABSTRACT A thermodynamic model of MIAK biodegradation
More informationNew implicit method for analysis of problems in nonlinear structural dynamics
Applied and Computational Mechanics 5 (2011) 15 20 New implicit method for analysis of problems in nonlinear structural dynamics A. A. Gholampour a,, M. Ghassemieh a a School of Civil Engineering, University
More informationINTERACTION OF STRESS, PATHOGENS AND DEVELOPMENT ON THE BEHAVIOR OF TELEOSTS
INTERACTION OF STRESS, PATHOGENS AND DEVELOPMENT ON THE BEHAVIOR OF TELEOSTS Carl B. Schreck Oregon Cooperative Fish and Wildlife Research Unit (U.S.G.S.) Oregon State University, Corvallis, Oregon 97331,
More informationInverted Pendulum. Objectives
Inverted Pendulum Objectives The objective of this lab is to experiment with the stabilization of an unstable system. The inverted pendulum problem is taken as an example and the animation program gives
More information16:375:527 Spring Semeter Physicochemical Process Dynamics in Environmental Systems
16:375:527 Spring Semeter Physicochemical Process Dynamics in Environmental Systems Instructor: Professor Weilin Huang whuang@envsci.rutgers.edu Description: This course covers fundamentals of process
More informationCABRILLO COLLEGE : Fall 2008
Instructor: Nicole Crane Office #620 ph. 479-5094 e-mail: nicrane@cabrillo.edu www.cabrillo.edu/~ncrane CABRILLO COLLEGE : Fall 2008 BIOLOGY 1C: Plant Biology and Ecological Principles Textbooks: 1) Biology,
More information