Open AccessFrequency control of isolated WT/PV/SOFC/UC network with new control strategy for improving SOFC dynamic response
Author(s) -
Taghizadeh Mahdi,
Hoseintabar Mohammad,
Faiz Jawad
Publication year - 2015
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.1925
Subject(s) - control (management) , frequency regulation , computer science , engineering , electric power system , artificial intelligence , power (physics) , physics , quantum mechanics
Summary This paper presents a new topology for isolated networks that consists of wind turbine, solid oxide fuel cell (SOFC), photovoltaic and ultra‐capacitor. SOFC system has slow dynamic causing many problems such as increasing the size of storage device joined to hybrid power generation system. In this paper, a new control strategy based on self‐adaptive teaching–learning‐based optimization Proportional + Integral (PI) controllers‐type fuzzy controller considering SOFC system constraints is proposed to improve the dynamic behavior of SOFC system. This reduces the size of storage device joined to SOFC system. The improved SOFC system is used in a new isolated network to show the validity of the proposed controller. For proper control of the frequency, new control strategy based on the improved droop and fuzzy controllers are utilized. In this paper, for precise control of frequency of network control more accurately, the multilayer perceptron neural network controller is proposed. Teaching–learning‐based optimization is implemented in training the neural controller in order to enhance the controller performance. The above mentioned detailed dynamic models of the isolated network have been integrated and simulated by using MATLAB/Simulink. Copyright © 2014 John Wiley & Sons, Ltd.