Multi-Objective Optimization of a Stand-alone Hybrid PV/wind/battery/diesel Micro-grid

Abstract

Renewable energy resources are promising solution to meet the increasing energy demand and corresponding conventional resources depletion. Hybrid Micro-Grid System (HMGS) can utilize all energy resources in a certain location. In this paper, a HMGS consists of PV, wind, and battery integrated with diesel generator is considered. The problem of optimal component sizing is formulated in multiobjective optimization framework considering three objective functions, cost of Electricity (COE), Loss of Power Supply Probability (LPSP), and Renewable Factor (RF). Two planning scenarios, namely PV/wind/battery and PV/wind/battery/diesel, are modeled and used. In the study, the hourly meteorological data for SHLATEEN city in EGYPT is used. The proposed energy management strategy is applied during supplying the load. Then, the results of different three multi-objective optimization algorithms are compared to obtain the most reliable and cost-effective system configuration.