价格引导下多微网系统协调自治优化运行策略  

Coordinated and autonomous optimal operation strategy of multi-microgrid system under the guidance of price

作　　者：何浩 雷霞 黄涛 何锦宇 HE Hao;LEI Xia;HUANG Tao;HE Jinyu(School of Electric Engineering and Electronic Information,Xihua University,Chengdu 610039,China;Department of Energy,Politecnico di Torino,Torino 10129,Italy)

机构地区：[1]西华大学电气与电子信息学院,四川成都610039 [2]都灵理工大学能源系,意大利都灵10129

出　　处：《电力系统保护与控制》2019年第16期17-26,共10页Power System Protection and Control

基　　金：国家自然科学基金项目资助(51677020,51877181);成都市软科学研究项目资助(2017-RK00-00054-ZF);四川省教育厅重大培育项目资助(18CZ0018);西华大学研究生创新基金项目资助(ycjj2018074)~~

摘　　要：根据“分散自治,集中协调”的思想,提出一种多微网系统分层协调优化策略。该策略中,上层引入中间代理作为协调者,根据各微网上传的余/缺量信息制定多微网系统内的能量交易价格并向各微网反馈。各微网作为下层自治单元,接收内部交易价格以运行成本最小为目标优化自身微源出力以及与外部电网的交换功率。各微网与中间代理进行多次量价互动寻找多微网系统协调运行的均衡状态。考虑上层定价模型为非优化问题将可能出现无最优均衡解的情况,首先求取该协调优化的相对最优均衡解集,然后按照一定的评价准则来选择解。将所提的协调优化模型在含3个微网的多微网系统中进行仿真分析,结果表明了所提模型的合理性及有效性。Based on decentralized autonomy and centralized coordination,a hierarchical coordinated optimization strategy for multi-microgrid(MMG)system is proposed in this paper.In the strategy,a middle agent(MA)is introduced as a coordinator in the upper level.The internal trading price is formulated by MA based on the power surplus and shortage information uploaded by microgrids(MGs)and fed back to MGs immediately.Each MG,seen as an autonomous unit in the lower level,receives the internal trading price and minimizes cost by optimizing its micro-sources’generation and exchange power with external grid.Moreover,the equilibrium of MMG’s coordinated operation is acquired by multiple interactions between MGs and MA.Considering that there may be no optimal equilibrium because the pricing model is a non-optimization problem,a relative optimal equilibrium solution set is firstly formed and then the appropriate solution is selected within a certain evaluation criteria in the set.Finally,the proposed model is simulated in a MMG system with three MGs,as well as the rationality and effectiveness are verified in the results.

关 键 词：多微网系统 分散自治 集中协调 中间代理 价格引导 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]