JOURNAL ARTICLE

Energy Management of an Autonomous Hybrid Wind-Photovoltaic Microgrid with Battery Storage

Abstract

This paper presents a study and a management of an autonomous hybrid microgrid system based on photovoltaic (PV) and wind renewable energy sources (RES). These power systems deliver electricity to remote locations including isolated villages in either desert or mountains, offshore islands, or military bases where it is either technically difficult or economically unfeasible to connect with the main power grid. In microgrid system based on RES, the power generation is heavily reliant to the meteorological conditions. Moreover, the lifespan of the energy storage systems decreases when the number of operating cycle increases. Therefore, one of the most important issues is the ability to provide the load with the necessary power despite the significant variation of the produced energy. Consequently, a robust energy management strategy is of prime importance in these systems. The paper proposes a design and simulation of an energy management strategy that considers various operation modes of an autonomous hybrid microgrid system. Extensive numerical simulations results performed on MATLAB/Simulink for an autonomous PV/wind microgrid feeding 8kW load at various operating conditions validate the proposed strategy.

Keywords:
Microgrid Photovoltaic system Renewable energy Wind power Energy management Energy storage Automotive engineering Computer science Energy management system Hybrid system Stand-alone power system Distributed generation Reliability engineering Power (physics) Engineering Energy (signal processing) Electrical engineering

Metrics

5
Cited By
1.24
FWCI (Field Weighted Citation Impact)
9
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Hybrid Renewable Energy Systems
Physical Sciences →  Energy →  Energy Engineering and Power Technology
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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