基于灰靶理论和谱聚类的虚拟电厂多形态柔性资源聚合模型  

Multi-form Flexible Resource Aggregation Model for Virtual Power Plant Based on Grey Target Theory and Spectral Clustering

作　　者：刘向向 张森林 朱思乔 马瑞[2] LIU Xiangxiang;ZHANG Senlin;ZHU Siqiao;MA Rui(Economics and Technology Research Institute of Jiangxi Electric Power Co.,Ltd.,Nanchang 330001,China;College of Electrical and Information Engineering,Changsha University of Science&Technology,Changsha 410114,China)

机构地区：[1]国网江西省电力有限公司供电服务管理中心,江西南昌330001 [2]长沙理工大学电气与信息工程学院,湖南长沙410114

出　　处：《中国电力》2023年第11期104-112,共9页Electric Power

基　　金：国家自然科学基金资助项目(51977012);国网江西省电力有限公司科技项目(521852220005)。

摘　　要：柔性资源通常聚合为虚拟电厂的形式参与电网调度。如何根据各类资源的特性,选择其最佳调度方案,改善电网调度运行稳定性是亟须解决的问题。首先考虑新能源发电、分布式储能、柔性负荷的响应特性,从响应时间、响应容量及日负荷波动率3方面分别建立各柔性资源通用的调频性能指标和调峰性能指标;其次,结合灰靶理论、客观赋权法和谱聚类法,将虚拟电厂内的柔性资源分成调频资源和调峰资源;最后,分别搭建调频型虚拟电厂聚合模型和调峰型虚拟电厂聚合模型并研究其聚合后的响应特性。算例仿真证明:聚合后虚拟电厂的响应时间与日负荷波动率均有所降低。调峰场景下优先利用调峰型虚拟电厂。当调峰型虚拟电厂不满足调峰需求时,调频虚拟电厂也参与调峰,以提高不同场景下的利用效率。Flexible resources are usually aggregated into virtual power plants to participate in power grid scheduling.A multi-form flexible resource aggregation model for virtual power plant is therefore proposed based on grey target theory and spectral clustering.Firstly,based on the response characteristics of new energy generation,distributed energy storage and flexible loads,the common frequency modulation performance indicators and peak shaving performance indicators are established for each flexible resource from three aspects,including response time,response capacity and daily load fluctuation rate.Secondly,based on the grey target theory,objective weighting method and spectral clustering,the flexible resources in the virtual power plant are classified into frequency modulation resources and peak shaving resources.Finally,a frequency modulation-type virtual power plant aggregation model and a peak shaving-type virtual power plant aggregation model are established respectively,and their post-aggregation response characteristics are studied.The numerical simulation shows that the response time and the daily load fluctuation rate of the post-aggregation virtual power plant are reduced.The peak shaving-type virtual power plants should be used preferentially under peak shaving scenarios.When the peak shaving-type virtual power plants can not meet the peak shaving requirements,the frequencymodulation virtual power plants can participate in peak shaving to improve the utilization efficiency in different scenarios.

关 键 词：虚拟电厂 谱聚类 灰靶理论 特性分析 评价指标 

分 类 号：TM62[电气工程—电力系统及自动化]