A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming

In order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems. In this paper, a dynamic economic dispatch (DED) model based on chance constrained programming is presented and an impro...

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Main Authors: Wushan Cheng, Haifeng Zhang
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/8/1/233
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author Wushan Cheng
Haifeng Zhang
author_facet Wushan Cheng
Haifeng Zhang
author_sort Wushan Cheng
collection DOAJ
description In order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems. In this paper, a dynamic economic dispatch (DED) model based on chance constrained programming is presented and an improved particle swarm optimization (PSO) approach is proposed to solve the problem. Wind power is regarded as a random variable and is included in the chance constraint. New formulation of up and down spinning reserve constraints are presented under expectation meaning. The improved PSO algorithm combines a feasible region adjustment strategy with a hill climbing search operation based on the basic PSO. Simulations are performed under three distinct test systems with different generators. Results show that both the proposed DED model and the improved PSO approach are effective.
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spelling doaj.art-6cefe43e9e0a4313a6788c478b279fc42022-12-22T04:22:18ZengMDPI AGEnergies1996-10732014-12-018123325610.3390/en8010233en8010233A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained ProgrammingWushan Cheng0Haifeng Zhang1School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaIn order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems. In this paper, a dynamic economic dispatch (DED) model based on chance constrained programming is presented and an improved particle swarm optimization (PSO) approach is proposed to solve the problem. Wind power is regarded as a random variable and is included in the chance constraint. New formulation of up and down spinning reserve constraints are presented under expectation meaning. The improved PSO algorithm combines a feasible region adjustment strategy with a hill climbing search operation based on the basic PSO. Simulations are performed under three distinct test systems with different generators. Results show that both the proposed DED model and the improved PSO approach are effective.http://www.mdpi.com/1996-1073/8/1/233wind powerdynamic economic dispatchspinning reservechance constraintprogrammingparticle swarm optimization
spellingShingle Wushan Cheng
Haifeng Zhang
A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
Energies
wind power
dynamic economic dispatch
spinning reserve
chance constraintprogramming
particle swarm optimization
title A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
title_full A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
title_fullStr A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
title_full_unstemmed A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
title_short A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming
title_sort dynamic economic dispatch model incorporating wind power based on chance constrained programming
topic wind power
dynamic economic dispatch
spinning reserve
chance constraintprogramming
particle swarm optimization
url http://www.mdpi.com/1996-1073/8/1/233
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AT haifengzhang dynamiceconomicdispatchmodelincorporatingwindpowerbasedonchanceconstrainedprogramming