首页|期刊导航|自动化学报(英文版)|A PI+R Control Scheme Based on Multi-Agent Systems for Economic Dispatch in Isolated BESSs

A PI+R Control Scheme Based on Multi-Agent Systems for Economic Dispatch in Isolated BESSsOACSTPCDEI

A PI+R Control Scheme Based on Multi-Agent Systems for Economic Dispatch in Isolated BESSs

英文摘要

Battery energy storage systems(BESSs)are widely used in smart grids.However,power consumed by inner impedance and the capacity degradation of each battery unit become particularly severe,which has resulted in an increase in operating costs.The general economic dispatch(ED)algorithm based on marginal cost(MC)consensus is usually a proportional(P)controller,which encounters the defects of slow convergence speed and low control accuracy.In order to solve the distributed ED problem of the isolated BESS network with excellent dynamic and steady-state performance,we attempt to design a propor-tional integral(PI)controller with a reset mechanism(PI+R)to asymptotically promote MC consensus and total power mis-match towards 0 in this paper.To be frank,the integral term in the PI controller is reset to 0 at an appropriate time when the proportional term undergoes a zero crossing,which accelerates convergence,improves control accuracy,and avoids overshoot.The eigenvalues of the system under a PI+R controller is well analyzed,ensuring the regularity of the system and enabling the reset mechanism.To ensure supply and demand balance within the isolated BESSs,a centralized reset mechanism is introduced,so that the controller is distributed in a flow set and centralized in a jump set.To cope with Zeno behavior and input delay,a dwell time that the system resides in a flow set is given.Based on this,the system with input delays can be reduced to a time-delay free system.Considering the capacity limitation of the battery,a mod-ified MC scheme with PI+R controller is designed.The correct-ness of the designed scheme is verified through relevant simula-tions.

Yalin Zhang;Zhongxin Liu;Zengqiang Chen

College of Artificial Intelligence,Nankai Univer-sity,Tianjin 300350||Tianjin Key Laboratory of Interven-tional Brain-Computer Interface and Intelligent Rehabilitation,Nankai University,Tianjin 300350,China

Battery energy storage system(BESS)distributed controleconomic dispatchmulti-agent systemreset control

《自动化学报(英文版)》 2024 (010)

2154-2165 / 12

This work was supported by the National Natural Science Foundation of China(62103203)and the General Terminal IC Interdisciplinary Science Center of Nankai University.

10.1109/JAS.2024.124236

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