首页|Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration

Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration

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Consensus has been widely used in distributed control,where distributed individuals need to share their states with their neighbors through communication links to achieve a common goal.However,the objectives of existing consensus-based control strategies for energy systems seldom address battery degradation cost,which is an important performance indicator to assess the performance and sustainability of battery energy storage(BES)systems.In this paper,we propose a consensus-based optimal control strategy for multi-microgrid systems,aim-ing at multiple control objectives including minimizing battery degradation cost.Distributed consensus is used to synchronize the ratio of BES output power to BES state-of-charge(SoC)among all microgrids while each microgrid is trying to reach its individual optimality.In order to reduce the pressure of commu-nication links and prevent excessive exposure of local information,this ratio is the only state variable shared between microgrids.Since our complex nonlinear problem might be difficult to solve by traditional methods,we design a compressive sensing-based gradient descent(CSGD)method to solve the control problem.Numerical simulation results show that our control strategy results in a 74.24％reduction in battery degradation cost on average compared to the control method without considering battery degradation.In addition,the compressive sensing method causes an 89.12％reduction in computation time cost compared to the traditional Monte Carlo(MC)method in solving the control problem.

Battery degradationcompressive sensingconsensusdistributed controlmulti-microgrid

Tonghe Wang、Hong Liang、Bo He、Haochen Hua、Yuchao Qin、Junwei Cao

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Guangzhou Institute of Energy Conversion,Chinese Academy of Sciences,Guangzhou 510640,China

Meihua Holdings Group Co.,Ltd.,Langfang 065001,China

Department of Astronautical Science and Technology,Space Engineering University,Beijing 101416,China

College of Energy and Electrical Engineering,Hohai University,Nanjing,211100,China

Department of Applied Mathematics and Theoretical Physics,University of Cambridge,Cambridge,CB3 0WA,UK

Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China

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BNRist ProgramFundamental Research Funds for the Central Universities of China

BNR 2021TD01009B200201071

2024

10.17775/CSEEJPES.2021.03180

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN：2096-0042
年,卷(期)：2024.10(5)