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基于需求响应的风电消纳机会约束模型研究
引用本文:艾欣,刘晓.基于需求响应的风电消纳机会约束模型研究[J].华北电力大学学报,2011,38(3):17-22,35.
作者姓名:艾欣  刘晓
作者单位:华北电力大学电气与电子工程学院,北京,102206
基金项目:北京市教育委员会共建专项资助项目
摘    要:规模风电的随机波动性给电网调度带来巨大困难,抑制风电出力的波动,使其较为平稳地接入系统具有现实意义.从需求响应的角度研究了风电消纳的问题.研究对象上,同时考虑价格型和激励型需求响应,计及了负荷的自弹性和互弹性系数,更加全面地反映了需求响应资源的特性;数学模型上,由于风电出力的随机性,采用了机会约束规划模型,使决策结果能...

关 键 词:风电消纳  优化调度  需求响应  机会约束规划  随机模拟粒子群算法

Chance constrained model for wind power usage based on demand response
AI Xin,LIU Xiao.Chance constrained model for wind power usage based on demand response[J].Journal of North China Electric Power University,2011,38(3):17-22,35.
Authors:AI Xin  LIU Xiao
Abstract:One of puzzles for large scale wind power usage is its stochastic fluctuations.There are realistic meanings to smooth wind power output fluctuations grid-connected for system operation.The paper proposes a new approach to improve wind power usage based on demand response(DR).To describe the DR characteristics,both price-based and incentive-based DR are employed here and both cross-elastic and self-elastic coefficients for price-based DR are considered.Furthermore,since wind power is stochastic,a chance constrained decision model is developed for wind power usage to meet the confidence coefficientrequired for system operation.Moreover,to solve the model,a particle swarm algorthm combined stochastic simulation method is introduced.Finally based on a practical system,a day-ahead real time price(RTP)and DR resource dispatch optimal solution is obtained and analysis verifies the effectiveness of the proposed method to improve wind power usage based on DR.
Keywords:wind power usage  optimal dispatch  demand response  chance constrained programming  stochastic simulation based particle swarm algorithm
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