Robust Power Management Control for Stand-Alone Hybrid Power Generation System

13th European Workshop on Advanced Control and Diagnosis

Kamal, Elkhatib^1,2 ; Adouane, Lounis^2 ; Aitouche, Abdel^3 ; Mohammed, Walaa^4

Industrial Electronics and Control Department, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt^1

Institut Pascal / IMobS3, Blaise Pascal University, UMR CNRS 6602, Clermont-Ferrand, France^2

Laboratory CRISTAL (Center of Research in Informatics, Signal and Automatic in Lille), University of Lille 1, France^3

Industrial Electronics and Control Dep., Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt^4

关键词: Fuzzy supervisory controls;    Hybrid power generation systems;    Hybrid power systems;    Lyapunov stability theory;    Photovoltaic energy systems;    Stand-alone hybrid power systems;    Takagi Sugeno fuzzy models;    Takagi-Sugeno fuzzy control systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/783/1/012035/pdf
DOI  :  10.1088/1742-6596/783/1/012035

来源: IOP

【 摘 要 】

This paper presents a new robust fuzzy control of energy management strategy for the stand-alone hybrid power systems. It consists of two levels named centralized fuzzy supervisory control which generates the power references for each decentralized robust fuzzy control. Hybrid power systems comprises: a photovoltaic panel and wind turbine as renewable sources, a micro turbine generator and a battery storage system. The proposed control strategy is able to satisfy the load requirements based on a fuzzy supervisor controller and manage power flows between the different energy sources and the storage unit by respecting the state of charge and the variation of wind speed and irradiance. Centralized controller is designed based on If-Then fuzzy rules to manage and optimize the hybrid power system production by generating the reference power for photovoltaic panel and wind turbine. Decentralized controller is based on the Takagi-Sugeno fuzzy model and permits us to stabilize each photovoltaic panel and wind turbine in presence of disturbances and parametric uncertainties and to optimize the tracking reference which is given by the centralized controller level. The sufficient conditions stability are formulated in the format of linear matrix inequalities using the Lyapunov stability theory. The effectiveness of the proposed Strategy is finally demonstrated through a SAHPS (stand-alone hybrid power systems) to illustrate the effectiveness of the overall proposed method.