激励型需求响应参与主动配电网优化调度的不确定性分析  

Uncertainty Analysis of Incentive Demand Response Participating in Optimal Scheduling of Active Distribution Network

作　　者：林俐[1] 张玉[1] LIN Li;ZHANG Yu(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206

出　　处：《华北电力大学学报（自然科学版）》2020年第5期10-20,共11页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家电网公司科技项目(52272216002D);国家高技术研究发展计划(863计划)项目(2011AA05A104).

摘　　要：在激励型需求响应参与主动配电网调度的过程中,由于用户消费心理、激励水平等因素的影响,需求响应具有明显的不确定性。因此,首先分析了不同激励水平下需求响应量、响应波动量与波动范围的变化特性,建立需求响应不确定性云模型;其次构建考虑激励型负荷参与主动配电网响应的可信性功率平衡机会约束,建立以系统运行成本最低为目标的主动配电网日前优化调度模型,并采用粒子群算法求解;进而基于需求响应不确定云模型,分析不同激励水平下需求响应参与主动配电网调度的响应特性。最后,通过算例仿真分析了激励水平对需求响应及系统调度计划的影响,为系统确定需求响应的补偿电价和安排调度计划提供了参考。Incentive demand response,influenced by user’s consumption psychology and stimulation level and other factors,presents to be uncertain while participating in active distribution network dispatch.Therefore,this paper established a demand response uncertainty cloud model by analyzing the transformation characteristic of demand response,response volatility and variation range at different stimulation levels.Then,we constructed credible power balance opportunity constraints considering the participation of incentive flexible loads response in active distribution network.We designed a day-ahead optimal scheduling for active distribution network model with the goal of minimizing system operation cost,and solved this model by particle swarm optimization.Based on the demand response cloud model,we analyzed the characteristic of demand response participating in active distribution network scheduling at different incentive levels.Finally,we used the simulation study to analyze the impact of stimulation level on demand response and system scheduling.This study helps system determine the compensation price of demand response and arrange the scheduling plan.

关 键 词：需求响应 激励水平 不确定性 主动配电网 云模型 

分 类 号：TM732[电气工程—电力系统及自动化]