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Stochastic dynamic economic emission dispatch with unit commitment problem considering wind power integration.

Authors :
Zhang, Yachao
Liu, Kaipei
Liao, Xiaobing
Qin, Liang
An, Xueli
Source :
International Transactions on Electrical Energy Systems. Jan2018, Vol. 28 Issue 1, p1-1. 27p.
Publication Year :
2018

Abstract

Summary: This paper establishes a probabilistic scenario–based framework for the stochastic dynamic economic emission dispatch with unit commitment (SDEED‐UC) problem, taking into account wind power uncertainty. To solve the stochastic UC problem, this paper presents a probabilistic scenario analysis approach to find the unit scheduling solution considering all the original scenarios under a predetermined probability level. And a reduced scenario set can be obtained by the simultaneous backward method. Consequently, the SDEED problem is decomposed into a number of deterministic multiobjective dispatch problems. For each scenario, an enhanced multiobjective particle swarm optimization (EMOPSO) algorithm integrated with the handling strategy for system operation constraints is proposed to produce the Pareto optimal solutions. Furthermore, the available reserve capacity by the UC solution is verified. The simulation results demonstrate that the proposed probabilistic scenario–based and EMOPSO approach is practicable for solving SDEED‐UC from the perspectives of system operation economy, emission, and reliability simultaneously. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20507038
Volume :
28
Issue :
1
Database :
Academic Search Index
Journal :
International Transactions on Electrical Energy Systems
Publication Type :
Academic Journal
Accession number :
127335847
Full Text :
https://doi.org/10.1002/etep.2472