Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network

Kyung-Min Kang,Junsin Yi,Chang-Gyun An,Tae-Gyu Kim,Mina Kim,Bong-Yeon Choi,Hoon Lee,Chung-Yuen Won,Yoon-Seong Lee

doi:10.3390/electronics10161939

Kyung-Min Kang, Junsin Yi + Show 7 more

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https://doi.org/10.3390/electronics10161939

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Abstract

This paper proposes an artificial neural network (ANN)-based energy management system (EMS) for controlling power in AC–DC hybrid distribution networks. The proposed ANN-based EMS selects an optimal operating mode by collecting data such as the power provided by distributed generation (DG), the load demand, and state of charge (SOC). For training the ANN, profile data on the charging and discharging amount of ESS for various distribution network power situations were prepared, and the ANN was trained with an error rate within 10%. The proposed EMS controls each power converter in the optimal operation mode through the already trained ANN in the grid-connected mode. For the experimental verification of the proposed EMS, a small-scale hybrid AD/DC microgrid was fabricated, and simulations and experiments were performed for each operation mode.

Highlights

An energy management method based on artificial neural network (ANN) theory is proposed to efficiently operate small-scale hybrid AC/DC microgrids
The ANN-based energy management system (EMS) receives the state of charge (SOC) of energy storage system (ESS), the surplus generation power of the distributed generation (DG), and the power received by the AC system to determine the optimal operation mode based on trained weight
In order to check whether the ANN-based EMS can stably operate in the proposed operation mode, experiments were conducted by varying the amount of generated power, the amount of load power, and the SOC of the ESS

Summary

Introduction

Since 2012, the Renewable Energy Portfolio—a mandatory system for supplying renewable energy sources (RESs) such as wind, tidal, and solar power—has been implemented Along with this movement, academia defined a microgrid as a small-scale distribution network based on renewable energy that provides network operation control capabilities [6,7]. Since the stand-alone operation of distributed power is possible without the microgrid being connected to existing systems, a high energy independence can be obtained [8]. Such a microgrid can be categorized as DC, AC, and hybrid AC/DC microgrids depending on how the distribution network and loads are connected [9,10].

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