Risk-based Security Constrained Unit Commitment

Transcription

1 A decision support system for electric operators 04 December 2015 Eng. Models for Critical Infrastructure Protection Laboratory (MCIP lab) Engineering Department Università degli Studi Roma TRE

2 Agenda Problem Problem Problem Problem

3 Main aim of this talk Problem Problem 2 This talk presents how decisions of a single-domain operator are affected by interdependency models. We consider a distribution smart grid and the demand-response balancing by means of the unit commitment problem.

4 URANIUM Information Flow 3 Problem Problem

5 Energy Management System Problem 4 Problem

6 Unit Problem Problem 5 The Unit (UC) calculation schedules (commits and dispatches) generator units over a given time horizon, and is extensively used in daily system operation. UC calculations over longer time-frames also fulfill critical roles in operational planning and portfolio evaluation and it aims to make power system more reliable.

7 Mathematical Formulation Objective Function Problem Problem 6 The generic unit commitment problem can be formulated as an optimization problem where the objective function is: where NG NT i=1 t=1 FC it (P it ) + MC it (P it ) + ST it + SD it MC i (P i ) is the maintenance cost; ST it is the start-up cost; SD it is the shutdown cost; FC it (P it ) is the function cost of the generator i at time period t depending on the actual power production P it and it is usually a quadratic curve FC it (P it ) = a i P 2 it + b i P it + c i with a i, b i and c i as cost coefficients. Padhy, Narayana Prasad. "Unit commitment-a bibliographical survey." Power Systems, IEEE Transactions on 19, no. 2 (2004):

8 Mathematical Formulation Constraints Problem Problem 7 The optimization problem is subject to several constraints. The most common are: Maximum and minimum output limits on generators P min it P it P max it Limit on the production ramp rate P it Power balance P it P max it NG i=1 (U it P it ) D f t where U it is the up/down status of the unit i and D f t is the forecast demand during time period t Padhy, Narayana Prasad. "Unit commitment-a bibliographical survey." Power Systems, IEEE Transactions on 19, no. 2 (2004):

9 Security- Problem Problem 8 Transmission network may have an effect on the commitment of units: Some units must run to provide voltage support The output of some units may be limited because their output would exceed the transmission capacity of the network In order to consider failures on the electric branches (i.e., lines), we need to consider also the topology of the power grid with the maximum capacity of each branch: if the capacity of a line is zero, the line is damaged.

10 Including Risk Evaluation Problem Problem 9 The risk has been introduced within the objective function: NG NT i=1 t=1 (FC it (P it ) + MC it (P it ) + ST it + SD it ) (2 op level) where FC it (P it ) + MC it (P it ) + ST it + SD it is the traditional formula of the objective function.

11 URANIUM Case Study The power grid Problem Problem 10

12 URANIUM Case Study The topology Problem Problem 11

13 URANIUM Case Study The load profile Problem Problem 12 from datiesercizio/datigiornalieri/confronto.aspx

14 URANIUM Case Study The generator profile Problem Problem 13 from Generation/Forecastandactualgeneration.aspx

15 The Console Problem Problem 14

16 The Console Problem Problem 15

17 The Console Problem Problem 16

18 The Console Problem Problem 17

19 The Console Nominal Conditions Problem Problem 18

20 Mechanical Fault at Primary Cabin 02 Which is Primary Cabin 02? Problem Problem 19

21 Mechanical Fault at Primary Cabin 02 Problem Problem 20

22 Subsequent Mechanical Fault at Wire near primary cabin 02 Problem Problem 21

23 Subsequent Mechanical Fault at Wire near primary cabin 02 Problem Problem 22

24 Conclusions Problem Problem Unit problem is a key process of the Energy Management System. The traditional algorithm can be modified for including the results of CISIApro, due to propagation algorithms of malfunctioning. 23 Further developments will include the detailed models of other renewable resource generators and electric vehicles.

25 Feedback Contact Information Problem Problem In case you have comments, suggestions or have found a bug, please do not hesitate to contact me. You can find my contact details below. Eng. chiara.foglietta@uniroma3.it

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27 Thanks to all MCIP lab students, researchers and professors but especially to: Simone Imbrogno, Cosimo Palazzo, Riccardo Santini, Dario Masucci Giulia Franchi and Prof. Stefano Panzieri