Optimization of Energy Supplies for Floating LiDAR System at Baron Coast, Indonesia using Genetic Algorithms

Didik Rostyono, Rudi Purwo Wijayanto, Amiral Aziz, Khotimatul Fauziah, Toha Zaky, Nurry Widya Hesty, Ifanda Ifanda, Ridwan Budi Prasetyo, Ario Witjakso, Agustina Putri Mayasari

Abstract


The use of renewable energy for commercial and domestic use in Indonesia has grown relatively high in the last decade. Eventually, the development of renewable power plants will intersect with land use for commercial because renewable energy resources are available only in certain locations. In the future, using lakes and seas for renewable power generation locations is an option. However, measuring the potential of wind energy in the ocean is an activity that has yet to be carried out widely. The floating LiDAR system (FLS) is an alternative technology for wind resources measurement at offshore applications. In order to obtain the optimum size of FLS power supplies for the Baron Coast application, it is necessary to optimize the process with the objective function of minimizing energy production costs. In this paper, optimization using a Genetic Algorithm (GA) is carried out to reduce energy costs and unmet load with combinations of renewable energy resources to supply the FLS’s load and batteries. The optimization's result will be verified by HOMER software. Based on the simulation result, compared to HOMER, a GA-based combination of 100% PV and 0% backup power is the optimal solution to supply energy with 0% unmet load at the optimum cost of energy of IDR 5,200/kWh.

Keywords


Floating LiDAR; offshore; wind measurement; genetic algorithm; energy supply

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v15i4.15050.g9141

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