Optimal cost and feasible design for gridconnected microgrid on campus area using the robust-intelligence method

作     者：Mohamad Almas Prakasa Subiyanto Subiyanto 

作者机构：Department of Electrical EngineeringFaculty of EngineeringUniversitas Negeri SemarangSemarang 50229Indonesia 

出 版 物：《Clean Energy》 (清洁能源（英文）)

年 卷 期：2022年第6卷第1期

页      面：59-76页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by UEESRG(UNNES Electrical Engineering Students Research Group) Department of Electrical Engineering Universitas Negeri Semarang in facilitating our study.This study is sponsored by Lembaga Penelitian dan Pengabdian Masyarakat(LP2M)Universitas Negeri Semarang under grant no.42.22.4/UN37/PPK.4.5/2020 and previous grant research funding 

主　　题：distributed energy and smart grid renewable-energy system optimization MGAPSO algorithm 

摘      要：In this paper,a robust optimization and sustainable investigation are undertaken to find a feasible design for a microgrid in a campus area at minimum *** campus microgrid needs to be optimized with further investigation,especially to reduce the cost while considering feasibility in ensuring the continuity of energy supply.A modified combination of genetic algorithm and particle swarm optimization(MGAPSO)is applied to minimize the cost while considering the feasibility of a grid-connected photovoltaic/battery/diesel ***,a sustainable energy-management system is also defined to analyse the characteristics of the *** optimization results show that the MGAPSO method produces a better solution with better convergence and lower costs than conventional *** MGAPSO optimization reduces the system cost by up to 11.99%compared with the conventional *** the rest of the paper,the components that have been optimized are adjusted in a realistic scheme to discuss the energy profile and allocation *** investigation has shown that MGAPSO can optimize the campus microgrid to be self-sustained by enhancing renewable-energy utilization.