MOTH-FLAME OPTIMIZATION-OPTIMAL SIZING-HYBRID ENERGY(PV, WIND, BATTERY AND CONVERTER)
This design is based on determining the optimal size of each of the energy resources that would meet the energy demand at the least cost of energy (COE) while considering reliability. To achieve this MFO is used with the objective to minimize the levelized cost of energy (COE) considering the loss of power supply probability (LPSP) reliability constraint. The energy mix consisting of Solar/ Photovoltaic (PV), wind and battery storage is considered to determine the right size with the least cost of energy considering the loss of power supply probability reliability index. The design verified using Matlab software.Three different cases considered in this work.
Case-1: Stand-alone Hybrid Energy System, consisting of Solar PV, Wind Power System (WPS), battery storage and converters.
Case-2: Grid connected Hybrid energy system, consisting of Grid Power,
Solar PV, Wind Power system (WPS), battery storage and converters. (Here the grid power can simply be modelled as Pgrid = Pload – Ppv – Pwps). So basically, the grid provides power, when the renewable energy sources have been used up completely.
Case-3: Un-reliable Grid connected Hybrid energy system, consisting of Grid Power, Solar PV, Wind Power system (WPS), battery storage and converters. In this case, the grid power
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