MPSO-Based Economic Optimal Design of an Isolated Industrial Microgrid Considering LPSP Concept and Covering System Uncertainties

This paper introduces a comprehensive long-term design and optimization approach for an isolated industrial microgrid comprising a wind turbine (WT), photovoltaic(PV) cells, a diesel generator and battery storage. The methodology takes into consideration the uncertainties associated with consumption load and the generation of distributed energy resources, employing a Monte Carlo scenario generation method. The optimal number of components for the hybrid system is determined by evaluating the Loss of Power Supply Probability (LPSP) using the proposed model. This evaluation is conducted through two conventional particle swarm algorithms (PSO) and Modified PSO (MPSO). The primary objective is to minimize the annual cost of the designed and analyzed system. The analysis reveals that the results demonstrate superior optimal performance and faster convergence speed of the proposed algorithm. The results demonstrate the optimal performance of the WT/PV/battery/diese hybrid system, with an annual system cost of 463,449.03 ${\$}$. Furthermore, as $L P S P_{\max }$ increases, the optimal annual cost of the system decreases, along with the number of batteries in all three investigated hybrid systems. Simultaneously, the share of diesel generator production increases.