考虑需求响应的风电消纳模糊

随着智能电网的快速发展,将需求响应(demand response,DR)融入调度过程以协调风电和火电机组出力是目前的研究热点.首先利用需求响应对负荷曲线的优化作用及其对系统备用容量的等效作用,制定了分时电价和可中断负荷的容量成本;其次针对风电出力的不确定性和随机性,采用可信性测度理论对其进行模糊表示;然后将风电出力不确定性引入到旋转备用模糊约束中,给出了基于模糊机会约束规划(fuzzy chance constrained programming,FCCP)并考虑需求响应的经济调度模型;最后由改进引力搜索算法求解所给模型.算例分析表明所提模型能够有效应对风电出力不确定性,降低系统运行的总成本.

Fuzzy Optimal Dispatch of Wind Power Consumption Considering Demand Response

With the rapid development of smart grid, the demand response (DR) into the scheduling process to coordinate the output of wind power and thermal power units is a current research focus.Firstly, this paper utilizes DR`s optimization function for the load curve and its equivalent function for the system reserve capacity to develop the time of use (TOU) pricing and the capacity cost model of interruptible load.Secondly, aiming at the uncertainties of wind power output, this paper adopts credibility measure theory to establish its fuzzy representation;then, introduces the wind power output uncertainty into the rotating reserve fuzzy constraint and presents the economic dispatch model based on fuzzy chance-constrained programming with considering DR.Finally, this paper solves the model by the improved gravity search algorithm.The example analysis results show the effectiveness of the proposed model in dealing with the uncertainty of wind power and reducing the running cost of the system.