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access icon free Optimal sizing of a wind/solar/battery hybrid grid-connected microgrid system

© The Institution of Engineering and Technology
Received 09/01/2017, Accepted 02/10/2017, Revised 07/09/2017, Published 09/10/2017

Higher cost and stochastic nature of intermittent renewable energy (RE) resources complicate their planning, integration and operation of electric power system. Therefore, it is critical to determine the appropriate sizes of RE sources and associated energy storage for efficient, economic and reliable operation of electric power system. In this study, two constraint-based iterative search algorithms are proposed for optimal sizing of the wind turbine (WT), solar photovoltaic (PV) and the battery energy storage system (BESS) in the grid-connected configuration of a microgrid. The first algorithm, named as sources sizing algorithm, determines the optimal sizes of RE sources while the second algorithm, called as battery sizing algorithm, determines the optimal capacity of BESS. These algorithms are mainly based upon two key essentials, i.e. maximum reliability and minimum cost. The proposed methodology aims to avoid over- and under-sizing by searching every possible solution in the given search space. Moreover, it considers the forced outage rates of PV, WT and utilisation factor of BESS which makes it more realistic. Simulation results depict the effectiveness of the proposed approach.

Inspec keywords: power generation reliability; power generation economics; solar power stations; costing; wind power plants; distributed power generation; battery storage plants

Other keywords: maximum reliability; forced outage rates; electric power system operation; intermittent renewable energy resources; solar photovoltaic; associated energy storage; battery energy storage system; grid-connected configuration; constraint-based iterative search algorithms; intermittent RE resources; electric power system planning; wind-solar-battery hybrid grid-connected microgrid system; optimal capacity; PV; battery sizing algorithm; stochastic nature; optimal sizing; BESS; source sizing algorithm; electric power system integration; wind turbine; minimum cost; WT

Subjects: Wind power plants; Solar power stations and photovoltaic power systems; Distributed power generation; Power system management, operation and economics; Reliability; Other power stations and plants

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