A new frequency control approach for isolated WT/FC/UC power system using improved fuzzy PSO & maximum power point tracking of the WT system

This paper makes uses of an intelligent framework based on improved fuzzy particle swarm optimization (IFPSO) algorithm to control the desired frequency of the power grid for stand-alone application. In this regard, a new schematic of an isolated hybrid energy system combining Wind Turbine (WT), Fuel Cell (FC) and Ultra Capacitor (UC) using nonlinear detailed models has been presented. In this system, the WT is used as the main power generation source. Fuel cell and Ultra Capacitor are introduced as a backup energy source and buffer storage to supply the load demand for all various operating conditions. In the proposed system, in order to use the grid's capability to its best, the second order sliding (SOSMC) mode strategy is employed to extract the maximum power from wind in the below the rated wind speed. In this part, to validate the performance and capabilities of the proposed MPPT strategy, a comparison with the classical ATF controller was performed using Matlab/Simulink. Moreover, to demonstrate the effectiveness of IFPSO algorithm, optimal droop frequency controller using IFPSO algorithm is compared with conventional and improved droop controllers. According to the simulation results, applying proposed method, the frequency deviation of the isolated power grid in dynamical state declines significantly.

[1]  R. Dhanalakshmi,et al.  Application of multi stage fuzzy logic control for Load Frequency Control of an isolated wind diesel hybrid power system , 2011, International Conference on Green technology and environmental Conservation (GTEC-2011).

[2]  John E. Warnock,et al.  Dynamic modeling , 1977, SIGGRAPH.

[3]  Bruce Hannon,et al.  Dynamic Modeling , 1994, Springer US.

[4]  Jean-Pierre Barbot,et al.  Sliding Mode Control In Engineering , 2002 .

[5]  S. Velusami,et al.  Dual mode linguistic hedge fuzzy logic controller for an isolated wind-diesel hybrid power system with superconducting magnetic energy storage unit , 2010 .

[6]  Mehmet Uzunoglu,et al.  Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications , 2009 .

[7]  Antonella Ferrara,et al.  On second order sliding mode controllers , 1998 .

[8]  Xavier Roboam,et al.  Hybrid solar–wind system with battery storage operating in grid-connected and standalone mode: Control and energy management – Experimental investigation , 2010 .

[9]  Vinay Kariwala,et al.  Decentralized Control of Solid Oxide Fuel Cells , 2011, IEEE Transactions on Industrial Informatics.

[10]  Tomonobu Senjyu,et al.  A frequency control method for isolated photovoltaic-diesel hybrid power system with use of full renewable energy , 2009, 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[11]  T. Funabashi,et al.  A Coordinated Control Method for Leveling PV Output Power Fluctuations of PV–Diesel Hybrid Systems Connected to Isolated Power Utility , 2009, IEEE Transactions on Energy Conversion.

[12]  Reza Shahnazi,et al.  An optimal fuzzy PI controller to capture the maximum power for variable-speed wind turbines , 2012, Neural Computing and Applications.

[13]  A. Mohd,et al.  Review of control techniques for inverters parallel operation , 2010 .

[14]  M. Omizo,et al.  Modeling , 1983, Encyclopedic Dictionary of Archaeology.

[15]  Delhi Metro Railways.  Design of PI Controllers by using Bacterial Foraging Strategy to Control Frequency for Distributed Generation , 2011 .

[16]  Houria Siguerdidjane,et al.  Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model , 2011, IEEE Transactions on Energy Conversion.

[17]  Kevin Tomsovic,et al.  Development of models for analyzing the load-following performance of microturbines and fuel cells , 2002 .

[18]  Fernando Briz,et al.  An improved control scheme based in droop characteristic for microgrid converters , 2010 .

[19]  Nand Kishor,et al.  Frequency regulation of hybrid renewable energy system for large band wind speed variation , 2009, 2009 International Conference on Power Systems.

[20]  Cuk Supriyadi Ali Nandar,et al.  Robust PI control of smart controllable load for frequency stabilization of microgrid power system , 2013 .

[21]  Alireza Alfi,et al.  Intelligent identification and control using improved fuzzy particle swarm optimization , 2011, Expert Syst. Appl..

[22]  S. M. Mousavi,et al.  An autonomous hybrid energy system of wind/tidal/microturbine/battery storage , 2012 .

[23]  H. Siguerdidjane,et al.  Nonlinear Control of Variable Speed Wind Turbines without wind speed measurement , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[24]  Nand Kishor,et al.  Robust H-infinity load frequency control in hybrid distributed generation system , 2013 .

[25]  Nand Kishor,et al.  Frequency control based on H𢄮 controller for small hybrid power system , 2011, 2011 5th International Power Engineering and Optimization Conference.

[26]  Won-Pyo Hong,et al.  Power control and modeling of a solar-ultra capacitor hybrid energy system for stand-alone applications , 2010, ICCAS 2010.

[27]  Atsushi Yona,et al.  Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics , 2011 .

[28]  Chul-Hwan Kim,et al.  A Frequency-Control Approach by Photovoltaic Generator in a PV–Diesel Hybrid Power System , 2011, IEEE Transactions on Energy Conversion.

[29]  Arie Levant,et al.  Higher order sliding modes as a natural phenomenon in control theory , 1996 .

[30]  Taher Niknam,et al.  Frequency deviation control by coordination control of FC and double-layer capacitor in an autonomous hybrid renewable energy power generation system , 2011 .

[31]  M.S. Alam,et al.  Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications , 2006, IEEE Transactions on Energy Conversion.

[32]  M.E.H. Benbouzid,et al.  Sliding Mode Power Control of Variable Speed Wind Energy Conversion Systems , 2008, 2007 IEEE International Electric Machines & Drives Conference.

[33]  Dulal Ch. Das,et al.  GA based frequency controller for solar thermal–diesel–wind hybrid energy generation/energy storage system , 2012 .

[34]  I. Ngamroo,et al.  Design of optimal fuzzy logic-PID controller using bee colony optimization for frequency control in an isolated wind-diesel system , 2009, 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific.

[35]  R. Eberhart,et al.  Fuzzy adaptive particle swarm optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).