Real-time Control and Management of a Microgrid, with Dispersed Generation Resources, Utilizing a Integrated Proton Exchange Membrane Fuel Cell Model

Document Type : Original Article

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PhD student in electrical engineering - power, Electrical and Computer Engineering Faculty, Tabriz University, Tabriz, Iran

Abstract

In this paper, a real-time control method is proposed for the energy management of a grid-connected microgrid including fuel cell, photovoltaic panels (PV) as distributed energy resources (DERs), and battery as energy storage system (ESS). The control method is based on model predictive control (MPC) and optimized using the particle swarm optimization (PSO) algorithm. By modeling the control method, predictive data obtained from simulating microgrid performance at each instance are utilized. Real-time microgrid control is then performed by combining these predicted data with real-time measurements. The purpose of this control method is to achieve integrated management of the microgrid and reduce changes in the battery’s state of charge (SoC) and fuel cell’s level of hydrogen (LoH). This reduction helps minimize excessive usage of the battery and fuel cell, thus reducing their depreciation. Moreover, the proposed control method enables PV and fuel cell to supply most of the required demand, with excess electric power being sold to the main grid. Additionally, the battery functions to absorbs power fluctuations, as demonstrated in the simulation results investigating these objectives.

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TABRIZ JOURNAL OF ELECTRICAL ENGINEERING

Articles in Press, Corrected Proof
Available Online from 09 March 2024

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