Model Predictive Control for the Energy Management of A Hybrid PV/Battery /Fuel Cell Power Plant

Adriana Aguilera Gonzalez, Matias Bottarini, I. Vechiu, Lucas Gautier, Ludovic Ollivier, Loic Larre
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引用次数: 6

Abstract

In this paper, an energy management system (EMS) of a grid-connected hybrid system, based on MPC methodology is presented. This approach is a control system based on the storage system model, which predicts the future output behavior of the storage system handling the power balance between the electricity supplied by the hybrid plant and the demand. This EMS aims to minimize electricity consumption from the grid by producing and consuming as much as possible renewable energy. To comply this, the hybrid power plant combines photovoltaic panels (PV), Li-Ion batteries and a chain of hydrogen (fuel cell, electrolyzer and hydrogen tank). The proposed control strategy has been implemented and tested using the Matlab/Simulink environment.
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光伏/电池/燃料电池混合电厂能量管理的模型预测控制
提出了一种基于MPC方法的并网混合动力系统能量管理系统。该方法是一个基于存储系统模型的控制系统,它预测存储系统处理混合电厂供电与需求之间的功率平衡的未来输出行为。该EMS旨在通过生产和消耗尽可能多的可再生能源来最大限度地减少电网的电力消耗。为了满足这一要求,混合动力发电厂结合了光伏板(PV)、锂离子电池和氢链(燃料电池、电解槽和氢罐)。所提出的控制策略已在Matlab/Simulink环境下进行了实现和测试。
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