Optimal Energy Management in Connected Microgrid Based on the Radial Basis Function Load Forecasting

Jafari Kermani Pour, Mostafa; Fardinfar, Farzin; Mirhosseini, Mitra

doi:10.48301/jear.2025.515176.1107

Optimal Energy Management in Connected Microgrid Based on the Radial Basis Function Load Forecasting

Document Type : Original Article

Authors

mostafa jafari kermani pour ¹

Farzin Fardinfar ²

Mitra Mirhosseini ²

¹ Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran

² Department of Electrical Engineering, Shahid Bahounar University, Kerman, Iran

10.48301/jear.2025.515176.1107

Abstract

Due to their distinctive characteristics, such as flexibility and sustainable energy production, the use of renewable energy sources has significantly increased in recent years. Energy management systems are crucial to the efficient operation of prosumers. By selecting and incorporating the appropriate renewable energy sources, future grids' energy efficiency and operational stability can be significantly increased. The main objective of this research is optimal management of a Microgrid connected to the grid, which is considering the constraints and cost per hour, and the amount of production and consumption amounts are expressed. Microgrid-connected hybrid system model for the current research has been created using the available renewable energy sources. The energy management system incorporates a load prediction module and to improve this prediction, Radial Basis Function (RBF) is applied using artificial neural network. Furthermore, including the depreciation cost of renewable energy sources in the objective function, improves the daily operation cost of the loads. The system is optimized using the multi-objective particle swarm optimization algorithm, and the case study is considered as a real area in Kerman Province, Iran, with residential, industrial, and commercial loads.

Keywords

Microgrid-Connected

Energy Management

Demand Response

Radial Basis Function

Distributed storage

Subjects

Electrical Engineering

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