
Effects of Dynamic Topology Reconfiguration for Optimal Operation in Multi-Microgrid System
Author(s) -
Qi Liu,
Shouxiang Wang,
Qida Zhao,
Zhenyu Wang,
Yunfeng Tian,
Hanmin Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012044
Subject(s) - control reconfiguration , dispatchable generation , microgrid , computer science , topology (electrical circuits) , reliability (semiconductor) , distributed computing , energy storage , reliability engineering , power (physics) , embedded system , engineering , control (management) , electrical engineering , physics , quantum mechanics , artificial intelligence
Multiple microgrids (MMG) system can reconfigure its topology by adjusting statuses of static switches and tie switches to improve reliability and economics of individual MGs. In this paper, a day-ahead optimal operation approach of MMG system in parallel model with topology reconfiguration is proposed, and a co-evolution algorithm (CEA) based approach is studied to manage multiple MGs more economically. In addition, proper feasible regions are set to ensure feasibility of the solution in CEA. Effectiveness of MMG system reconfiguration as well as cooperative operations of reconfiguration, energy storage systems (ESSs), and dispatchable distributed generations (DGs) are studied via numerical simulations. Specifically, simulation results indicate that MMG system reconfiguration in parallel mode can improve economic operation of MMGs and enhance efficient utilization of dispatchable DGs and ESSs.