计及用电行为聚类的智能小区互动化需求响应方法

发布时间：2018-12-15 00:54

【摘要】：针对复杂智能用电环境下智能用电小区的多用户日负荷需求响应问题,提出一种考虑用户用电行为聚类的互动需求响应方法。首先,以智能小区用户的基本负荷、可调度负荷、电动车负荷和储能装置负荷为约束条件,建立电网负荷波动最小优化目标的需求响应模型;然后,阐述了提出的智能小区互动化需求响应方法,将需求响应模型求解过程分解为电网侧子响应和用户侧子响应的协作互动过程;最后,基于用户侧用电行为聚类分析,采用行为矫正的混合粒子群优化算法实现需求响应模型的互动化方法求解。实验中与分时电价下的响应算法及无用户聚类的集中响应算法对比,其结果表明所提方法通过聚类分析与互动化策略能够在优化结果和算法性能方面优于对比方法。
[Abstract]:In order to solve the problem of multi-user daily load demand response in a complex intelligent power consumption environment, an interactive demand response method considering the clustering of users' power consumption behavior is proposed. Firstly, taking the basic load, schedulable load, electric vehicle load and energy storage unit load of intelligent residential area as the constraint conditions, the demand response model of the minimum optimization objective of power grid load fluctuation is established. Then, the interactive demand response method of intelligent community is presented. The solution process of demand response model is decomposed into the collaborative interaction process of grid side sub-response and user side sub-response. Finally, based on the cluster analysis of user side electricity behavior, a hybrid particle swarm optimization algorithm based on behavior correction is used to solve the interactive solution of demand response model. The experimental results are compared with the response algorithm under time-sharing price and the centralized response algorithm without user clustering. The results show that the proposed method is superior to the comparison method in the optimization results and the performance of the algorithm by clustering analysis and interactive strategy.
【作者单位】：华北电力大学电气与电子工程学院;国网江苏省电力公司电力科学研究院;
【基金】：国家电网公司科技项目(2015SGKJ10-1) 国家重点研发计划资助项目(2016YFB0901104)~~
【分类号】：TM73;TM76

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