Design Optimization of Hybrid Generation System Using Solar Energy and Ocean Waves With Elephant Herding Optimization Method

Abstract

The current electricity demand is getting higher. In various parts of the world, especially Indonesia, electrical Energy is widely used for various activities, especially in economic and industrial activities. Based on forecasts of electricity demand from 2016 to 2025, electricity demand in 2025 is 457 TWh. Fossil (nonrenewable) energy generators still dominate Indonesia's power generation system. As a result, installed capacity in 2018 was primarily derived from fossil energy generation, especially coal (50%), followed by natural gas (29%), fuels (7%), and renewables (14%). continued. With the enactment of Law No. 16 of 2016 on the Paris Agreement of the United Nations Framework Convention on Climate Change, RUPTL supports the government's commitment to reduce greenhouse gas emissions by 29% by 2030. In this paper, we propose a grid-connected PV-Ocean Wave hybrid renewable energy generation system with batteries as energy storage devices as one of the solutions for maximum energy generation. The research location is located in Kahu-Kahu, Bontoharu, Selayar Islands Regency. This location is one of several remote areas that need electricity evenly. This research demonstrates an optimal hybrid power plant design in terms of economy and Energy produced using EHO (Elephant Herding Optimization) in MATLAB. The results showed that the best value for a hybrid generator between PV and wave energy was the best power per year: 216943.935 kWh. The number of batteries needed is 132 pieces. The total number of PV units required is 1824. The number of wave generators required is three units. Total NPCs: Rp. 257,281,230.8308. COE value: Rp. 9,632,081.6556.