Optimization Of Hybrid Renewable Energy System (HRES) Using Particle Swarm Optimization (PSO)
Mohammad Noor Hidayat, Ilham Pakaya, Budhy Setiawan, Awan Setiawan, Rahmad Santoso
State Polytechnic Of Malang
Abstract
The instability of energy resources and correseponding cost of the system are the main two problems for designing the hybrid solar-wind power generation systems. The configuration of the system must have a high reliability on the power supply avaibility but with a minimum cost. The purpose of this paper is to find the most optimum or balanced configuration between technical reliability and total annual cost for the PV module number, the wind turbine number and the battery number. Apropriate strategy of load management is needed by adjusting the potensial energy resource to the load power demand. Loss of Power Supply Probability (LPSP) is a method to determine the ratio of power generation unavailability by the system configuration which used as technical analysis. Annualized Cost of System (ACS) is a method to determine the total annual cost the project lifetime which used as economical analysis. The result from the simulation showed that Particle Swarm Optimization (PSO) algorithm can be an alternative method to find the best configuration with a low number of LPSP and ACS. Since, PSO has a better efficacy and faster time to find global optimum than other algorithm.
Keywords: Hybrid Generation; Optimization; LPSP; ACS; Particle Swarm Optimization (PSO)
Topic: Electrical Engineering