A Lightning Search Algorithm for Optimal Planning of Power Systems With Short/Long-Term Storage

A lightning search algorithm (LSA) has been used in this paper to determine the optimal design and energy management of hybrid systems (HS), including wind turbines (WT), photovoltaic panels (PV), electrolizers (EL), fuel cells based on hydrogen storage, and batteries for short- and long-term energy...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.16682-16695
1. Verfasser:	Hamanah, Waleed M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternative energy sources Batteries Capacity planning Costs Design electrolizer (EL) Energy management Energy resources Energy storage fuel cell (FC) Fuel cells Hybrid power systems Hybrid systems hydrogen capacity of storage tank (HT) Hydrogen storage Lightning Lightning search algorithm (LSA) Maintenance costs Matlab Meteorology optimal sizing Optimization Particle swarm optimization photovoltage (PV) Photovoltaic cells Photovoltaic effects planning Power management Power system planning Reliability Renewable energy sources Renewable resources Search algorithms Search methods Solar radiation Sustainable development Weather Wind speed wind turbine (WT) Wind turbines
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