JOURNAL ARTICLE

Optimal Sizing of PV/Wind/Battery Hybrid Microgrids Considering Lifetime of Battery Banks

Ning ZhangNien‐Che YangJian‐Hong Liu

Year: 2021 Journal:   Energies Vol: 14 (20)Pages: 6655-6655   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Power system scheduling of renewable energy sources has been studied extensively due to the severe increase in pollution caused by conventional energy sources. In this study, a multi-objective scheduling model of a hybrid microgrid is proposed to minimize the cost of hybrid microgrids and maximize the power supply reliability. The main power generation units such as the wind turbines, photovoltaic (PV) cells, and battery banks are used in this hybrid microgrid. In this study, the optimal sizing of PV panels and battery banks are obtained using multi-objective particle swarm optimization (MOPSO) for the proposed multi-objective scheduling model. The lifetime of battery banks is considered in the energy storage system (ESS) model. Finally, the practicality of the scheduling model proposed in this study is verified by four examples.

Keywords:
Microgrid Photovoltaic system Renewable energy Sizing Wind power Automotive engineering Particle swarm optimization Scheduling (production processes) Battery (electricity) Computer science Reliability engineering Engineering Power (physics) Electrical engineering

Metrics

15
Cited By
0.94
FWCI (Field Weighted Citation Impact)
27
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hybrid Renewable Energy Systems
Physical Sciences →  Energy →  Energy Engineering and Power Technology
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Electric Vehicles and Infrastructure
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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