Abstract:
In this study, the influence of using acid batteries as part of green energy sources, such as
wind and solar electric power generators, is investigated. First, the power system is simulated in
the presence of a lead–acid battery, with an independent solar system and wind power generator.
In the next step, in order to estimate the output power of the solar and wind resources, a novel
forecast model is proposed. Then, the forecasting task is carried out considering the conditions
related to the state of charge (SOC) of the batteries. The optimization algorithm used in this model is
honey bee mating optimization (HBMO), which operates based on selecting the best candidates and
optimization of the prediction problem. Using this algorithm, the SOC of the batteries will be in an
appropriate range, and the number of on-or-off switching’s of the wind turbines and photovoltaic
(PV) modules will be reduced. In the proposed method, the appropriate capacity for the SOC of the
batteries is chosen, and the number of battery on/off switches connected to the renewable energy
sources is reduced. Finally, in order to validate the proposed method, the results are compared with
several other methods.