Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms

By Eftichios Koutroulis, D. Kolokotsa, Antonis Potirakis, Kostas Kalaitzakis. 2006

783 citations recorded by the source corpus.

Subfields: Energy Engineering and Power Technology, Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f91dfd7d50090a1c020703943ff6b4eb7abda891

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In Energy Engineering and Power Technology

1. Hongxing Yang

Citations in the corpus

• Optimal sizing study of hybrid wind/PV/diesel power generation unit (2011, methodology): “…equation SOCðt þ DtÞ ¼ SOCðtÞ þ gbat ðP BðtÞÞ=V busð ÞDt ð12Þ where gbat is equal to the round-trip efficiency in the charging process and is equal to the 100% in the discharging process (Koutroulis et al., 2006), Vbus is the DC bus voltage (V) and Dt is the hourly time step is set equal to 1 h.”
• OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM (2008, methodology): “where h is the angle of incidence, which can be calculated by ( Duffie and Beckman, 1980 )”