Share
Export Citation
Optimization of Hybrid Generation (PVs, Batteries, and Generators) in an Off-Grid Area using a Multi-Objective Optimization Approach
Utamidewi D.
Proceeding 2023 International Conference on Artificial Intelligence Robotics Signal and Image Processing Airosip 2023
Abstract
Renewable energy is a solution for electricity supply in remote areas. However, due to its intermittent nature, many researchers have proposed a hybrid system using energy storage. Many studies have been conducted to show the optimization of hybrid generation with various methods. This study aims to show the results of optimizing hybrid generators (PVs, batteries, and generators) in an off-grid area in Indonesia, namely the Borneo Orangutan Survival Foundation (BOSF), Kalimantan. This paper combines two methods to obtain the best results. The first method is to analyze different PV and battery brands and decide the best brand using the multi-objective optimization by ratio analysis (MOORA) method, considering the watt-peak (Wp) and price for PVs and capacity (Ah) and price for batteries. The second method is to demonstrate the best hybrid system for this location using particle swarm optimization (PSO), considering power output, price, and carbon emission. The result shows that for this hybrid system, the best PV is Jinko Solar 555Wp and the best battery is Narada Battery REXC 600Ah. Furthermore, the PSO calculation shows that the hybrid system runs optimally with 743 solar panels, 141 batteries, and 1 generator. When compared with the actual data, this research has shown a difference in costs of $150,706, or a savings of 33.97% from the actual costs.