Abstract
In this paper, a simulation model describing the operation of a PV/wind/diesel hybrid microgrid system with battery bank storage has been proposed. Optimal sizing of the proposed system has been presented to minimize the cost of energy (COE) supplied by the system while increasing the reliability and efficiency of the system presented by the loss of power supply probability (LPSP). Novel optimization algorithms of Whale Optimization Algorithm (WOA), Water Cycle Algorithm (WCA), Moth-Flame Optimizer (MFO), and Hybrid particle swarm-gravitational search algorithm (PSOGSA) have been applied for designing the optimized microgrid. Moreover, a comprehensive comparison has been accomplished between the proposed optimization techniques. The optimal sizing of the system components has been carried out using real-time meteorological data of Abu-Monqar village located in the Western Desert of Egypt for the first time for developing this promising remote area. Statistical study for determining the capability of the optimization algorithm in finding the optimal solution has been presented. Simulation results confirmed the promising performance of the hybrid WOA over the other algorithms.
Highlights
MOTIVATION AND INCITEMENTDespite the significant increases in the development of global renewable energy technology, electricity shortages remain a serious problem in rural areas and islands with large sources of renewable energy
CONTRIBUTION AND PAPER ORGANIZATION Proceeding from the necessity to diversify electricity generation by giving priority to optimizing the use of renewable energy, this paper investigates on the economical design of a grid-independent hybrid PV/wind power system with battery storage and diesel generator
The results show that the Whale Optimization Algorithm (WOA) optimization method can capable to reach the minimum best optimal value of the objective function
Summary
Despite the significant increases in the development of global renewable energy technology, electricity shortages remain a serious problem in rural areas and islands with large sources of renewable energy. C. CONTRIBUTION AND PAPER ORGANIZATION Proceeding from the necessity to diversify electricity generation by giving priority to optimizing the use of renewable energy, this paper investigates on the economical design of a grid-independent hybrid PV/wind power system with battery storage and diesel generator. CONTRIBUTION AND PAPER ORGANIZATION Proceeding from the necessity to diversify electricity generation by giving priority to optimizing the use of renewable energy, this paper investigates on the economical design of a grid-independent hybrid PV/wind power system with battery storage and diesel generator In this way, Whale Optimization Algorithm (WOA), Water Cycle Algorithm (WCA), Moth-Flame Optimizer (MFO), and Hybrid particle swarm-gravitational search algorithm (PSOGSA) have been exploited for minimizing the cost of energy (COE) generated from this system over its 25 years’ lifetime, and subjected to reliability constraints in the form of loss of power supply probability. Where SOC(t), SOC(t −1), σ , ECH (t), EDIS (t), Pload (t), ηconv, ηCH , and ηDIS are the state of charge of the battery system at time t, (t − 1), self-discharge rate, charging energy, discharging energy, load demand for energy at the time t, converter efficiency, the charging efficiency of the battery, and the discharge efficiency battery storage system, respectively
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
