Optimal energy control of a PV-fuel cell hybrid system

被引：52

作者：

Tiar, Mourad ^{[1
]}

Betka, Achour ^{[1
]}

Drid, Said ^{[2
]}

Abdeddaim, Sabrina ^{[1
]}

Becherif, Mohamed ^{[3
]}

Tabandjat, Abdulkader ^{[4
]}

机构：

[1] Univ Biskra, Dept Elect Engn, LGEB Lab, Biskra, Algeria

[2] Batna Univ, Dept Elect Engn, LSPIE Lab, Batna, Algeria

[3] UTBM, FEMTO ST UMR CNRS 6174, FClab FR CNRS 3539, F-90010 Belfort, France

[4] Belfort MonBeliard Univ Technol, FC Lab, Belfort, France

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2017年 / 42卷 / 02期

关键词：

Photovoltaic; Fuel cell; Fuzzy logic; Back stepping; Power management;

D O I：

10.1016/j.ijhydene.2016.06.113

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

This paper deals with a real time implementation of a fuzzy logic-based power management of a small scale generation hybrid power system. The system consists of a photovoltaic array and a fuel cell stack, supported by a single-phase grid that supplies a standalone AC load. The proposed supervisory algorithm guaranties the system to switch smart between two operation modes, according to the load demand, the gas level and the PV availability. Obviously, the PV side DC DC converter is controlled to track permanently the maximum power point by using a fuzzy logic MPPT method; whereas, the fuel cell stack and the grid converters are tuned to cover the remaining power, or alternatively, injecting the exceeding power to the utility. Besides, to feed the AC load with a pure sine wave, a Back stepping algorithm is proposed to control the front-end single-phase inverter. To test the effectiveness of the proposed algorithms, experimental results obtained with a given load profile are presented and commented. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：1456 / 1465

页数：10

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