Coordinated optimal operation of a joint virtual energy storage system based on an improved non-dominated sorting genetic and multi-objective particle swarm optimization algorithm

High renewable penetration intensifies the source–load temporal mismatch in building-integrated microgrids. This study introduces a joint virtual energy storage concept—combining building thermal inertia with electric-vehicle (EV) batteries—and formulates a multi-objective dispatch model to minimize...

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Vydané v:	Energy reports Ročník 14; s. 3993 - 4005
Hlavní autori:	Zhang, Jianyu, Xing, Na, Liu, Jun, Liu, Yongming, Chen, Guowei, Liu, Chao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2025
Predmet:	Economy Environmental protection Integrated energy system Joint virtual energy storage NSGA_MOPSO algorithm Integrated energy system Economy NSGA_MOPSO algorithm Joint virtual energy storage Environmental protection
ISSN:	2352-4847, 2352-4847
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