Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Using Improved Particle Swarm Optimization

Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich and Krischonme Bhumkittipich ()
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Chaimongkol Pengtem: Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi 12110, Pathum Thani, Thailand
Saksit Deeum: Department of Science Service, Ministry of Higher Education, Science, Research and Innovation, Thanon Rama VI, Thung Phayathai, Ratchathewi, Bangkok 10400, Thailand
Amirullah: Department of Electrical Engineering, Faculty of Engineering, Universitas Bhayangkara Surabaya, Surabaya 60231, Indonesia
Hideaki Ohgaki: Graduate School of Energy Science, Institute of Advanced Energy, Kyoto University, Gokasho, Uji 611-0011, Kyoto, Japan
Sillawat Romphochai: Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi 12110, Pathum Thani, Thailand
Pimnapat Bhumkittipich: Department of Social Science, Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi (RMUTT), Khlong Luang 12110, Pathum Thani, Thailand
Krischonme Bhumkittipich: Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi (RMUTT), Thanyaburi 12110, Pathum Thani, Thailand

Energies, 2025, vol. 18, issue 9, 1-22

Abstract: The potential for electricity distribution in power systems has significantly increased over the years. This is mainly because of the discovery of alternative electricity generation sources, such as renewable energy, coupled with distributed generation (DG), making electricity more widely accessible. However, challenges remain in distributing electricity to remote area communities (RACs), especially because of difficult terrain and the complexity of installing power plants, leaving some areas without access to electricity. In this study, we used an improved particle swarm optimization (IPSO) technique to propose multi-objective energy management for remote area communities within a hybrid integrated Photovoltaic–(PV)–Hydropower plant (HPP)–Battery Energy Storage System (BESS). The multi-objective functions enhance power quality and voltage stability to meet grid code requirements. The proposed method was applied to the IEEE 15-bus system, which is consistent with systems commonly used in remote area communities, under the following scenarios: Case I—random installation of PV-HPP-BESS and PI parameter control of BESS; Case II—optimal location of PV-HP-BESS and PI parameter control of BESS using IPSO; Case III—sudden short circuit of the transmission line in Case II. Effectiveness was verified through hardware-in-the-loop (HIL) testing. The experimental results indicate that the proposed method significantly improves power quality and stability under disturbances, demonstrating superior performance.

Keywords: distributed generation; remote area community; power quality; voltage stability; PV; HPP; BESS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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