分散架构下多虚拟电厂分布式协同优化调度  

Distributed Coordinated Optimal Scheduling of Multiple Virtual Power Plants Based on Decentralized Control Structure

作　　者：李翔宇 赵冬梅[1] Li Xiangyu;Zhao Dongmei(School of Electrical and Electronic Engineering North China Electric Power University,Beijing 102206 China)

机构地区：[1]华北电力大学电气与电子工程学院,北京102206

出　　处：《电工技术学报》2023年第7期1852-1863,共12页Transactions of China Electrotechnical Society

基　　金：国家重点研发计划资助项目(2017YFB0902600)。

摘　　要：双碳战略与电力市场改革背景下,未来配电网中将形成多虚拟电厂共存的格局。为实现利益主体各异的多虚拟电厂协调优化调度,该文基于“信息分离、决策协同”思想,提出一种基于拉格朗日对偶松弛的多虚拟电厂分布式协调优化调度方法。首先,构建多虚拟电厂分布式协调优化控制机制;接着,构建多虚拟电厂多时段协调优化调度模型,基于供需关系构建虚拟电厂间交易电价函数;然后,利用拉格朗日对偶松弛理论对优化模型进行松弛,将原问题转为多虚拟电厂分布式优化问题,并采用分布式部分可观测的马尔科夫决策过程将日前多时段协调优化调度问题重构为实时优化调度问题,基于改进量子遗传算法对优化问题进行求解;最后,通过仿真计算验证了所提方法的有效性。For multiple virtual power plants(MVPP)in regional distribution network,the coordinated optimization based on the mutual power support between virtual power plants(VPPs)will impove the the flexibility and economical efficiency of scheduling.However,most of the research on MVPP coordinated optimal scheduling adopts the idea of centralized modeling and unified solution.With the increase of the number of aggregated resources,this method becomes more difficult to solve,and is not conducive to the privacy protection of each VPP.To solve these issues,this paper proposes a distributed coordinated optimal scheduling method or MVPP under decentralized control structure based on the idea of"information separation and decision coordination".Firstly,a distributed coordination and optimal control mechanism for MVPP is constructed.Secondly,the multi-time coordinated optimal scheduling model of MVPP is constructed,and the transaction price function between VPPs is constructed based on the relationship between supply and demand of power.Then,the Lagrange dual relaxation theory is used to relax the optimization model.Finally,the day-ahead multi-time coordinated optimal scheduling problem is transformed into a real-time optimal scheduling problem based on decentralized partially-observable Markov decision process(DEC-POMDP),and the optimization problem is solved based on the improved quantum genetic algorithm(QGA).Simulation results on the MVPP system composed of three VPPs show that,when MVPP adopts coordinated optimal scheduling,the total amount of electricity sold to the grid is 8517.60 kW·h,the total amount of electricity purchased from the grid is 125.41 kW·h,and the total cost is 998.68¥.When each VPP adopts optimal scheduling independently,the total amount of electricity sold to the grid is 9921.44 kW·h,the total amount of electricity purchased from the grid is 823.26 kW·h,and the total cost is 1392.75¥.This is because when MVPP adopts coordinated optimal scheduling,the transaction price between VPPs is better than el

关 键 词：多虚拟电厂 拉格朗日对偶松弛 分布式优化 实时优化调度 

分 类 号：TM62[电气工程—电力系统及自动化] TM73