A Hybrid Agent-based Model Predictive Control Scheme for Smart Community Energy System with Uncertain DGs and Loads  

作　　者：Xiaodi Wang Youbo Liu Junbo Zhao Junyong Liu 

机构地区：[1]the College of Electrical Engineering,Sichuan University,Chengdu 610065,China [2]the Department of Electrical and Computer Engineering,Mississippi State University,Starkville 39762,USA

出　　处：《Journal of Modern Power Systems and Clean Energy》2021年第3期573-584,共12页现代电力系统与清洁能源学报（英文）

基　　金：This work was supported by National Key R&D Program of China(No.2017YFE0112600).

摘　　要：A multi-agent consensus-based market scheme is proposed for the cooperation of community and multiple microgrids(MGs)in a distributed,economic and hierarchal man-ner.The proposed community-based market framework with frequency regulation(FR)market is formulated as a two-level scheduling problem:the global decision-making process of community agent(CA)to participate in the FR market and the interaction and control process of local MGs to achieve collaboration in response to the global target with efficient pricing rules.Specifically,the model predictive control(MPC)is integrated with the consensus-based theory to allow MG to obtain an economic and reliable dispatch in the presence of uncertainties of distributed generators and loads.Thanks to the distributed nature of the proposed scheme,its robustness to communication issues has been strengthened and a win-win situation for all energy stakeholders can be achieved.The robustness of the proposed scheme is investigated in various conditions,including different implementation strategies,communication topologies,and the level of uncertainties.

关 键 词：Community market model predictive control(MPC) energy management consensus-based market scheme 

分 类 号：F49[经济管理—产业经济] F426.61[电气工程—电力系统及自动化] TM73[动力工程及工程热物理] TK01