System Optimization and Design of Hybrid Mini Grid System Consisting of Diesel-Solar and Storage Units Using Bacteria-Foraging Algorithm: A Case Study Bohe Village-Somali Region

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Date

2025-02

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Addis Ababa University

Abstract

Providing a reliable and sustainable energy supply in remote and underserved regions is a signi cant challenge. This study presents the system optimization and optimal control design of a hybrid mini-grid system, combining diesel generators, solar photovoltaic (PV) panels, and battery storage units to meet the energy demands of Bohe Village in the Somali Region of Ethiopia. The optimization is achieved using the Bacteria-Foraging Algorithm (BFA), an advanced technique inspired by the foraging behavior of E. coli bacteria, ensuring the hybrid system's e cient operation in MATLAB. The research starts by analyzing the daily load pro le of Bohe Village, highlighting peak loads and total energy requirements. The hybrid system is then designed, incorporating suitable capacities for the diesel generators, PV panels, and battery storage. The BFA is applied to optimize controller gains for the inverter, boost converter, battery charging/discharging, and energy management system (EMS). The EMS dynamically selects and allocates energy sources, ensuring optimal load distribution to meet demand while preventing overloads. The results show that the hybrid mini-grid system is well-suited for Bohe Village's energy needs. The integration of solar PV and battery storage enhances the system's sustainability and resilience against fuel price volatility and supply disruptions. This case study provides valuable insights and a framework for optimizing hybrid energy systems in similar remote locations. Ultimately, the use of BFA for hybrid mini-grid design o ers a promising solution to energy challenges faced by remote communities, contributing to energy access and sustainable development.

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Keywords

hybrid, photovoltaic, battery, diesel, EMS, MATLAB, BFA.

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