Decentralized frequency-voltage control and stability enhancement of standalone wind turbine-load-battery

Abstract This paper simulates an islanding network including wind turbine, battery energy storage systems (BESS), and load. The purpose is to control voltage and frequency of the load following wind speed variations by proper control of BESS. A decentralized control scheme including two control loops is designed on BESS. One control loop is implemented for voltage regulation and the other loop is designed for frequency control. Both loops are equipped with PI (Proportional–Integral) type controllers as internal controllers. Furthermore, both loops are equipped with supplementary stabilizers as external controllers. The internal controllers regulate frequency and voltage and the external stabilizers enhance stability. This paper optimally tunes all the parameters of internal controllers and external stabilizers at the same time. The problem for tuning a large number of the design variables is mathematically expressed as a mixed integer nonlinear optimization programming and solved by modified-adaptive PSO technique. The proposed methodology is simulated on a typical standalone network including wind turbine, BESS, and load. The accurate model of BESS and wind turbine is incorporated to cope with real conditions. Moreover, in order to demonstrate the real-world results, non-linear time domain simulations are carried out in MATLAB software. The results verify that the proposed control scheme can efficiently utilize BESS to control voltage, regulate frequency, and damp out oscillations under wind and load variations.

[1]  Qinghai Bai,et al.  Analysis of Particle Swarm Optimization Algorithm , 2010, Comput. Inf. Sci..

[2]  D. Boroyevich,et al.  DC-link Voltage Control of a Full Power Converter for Wind Generator Operating in Weak-Grid Systems , 2008, IEEE Transactions on Power Electronics.

[3]  Sahbi Boubaker,et al.  Identification of nonlinear Hammerstein system using mixed integer-real coded particle swarm optimization: application to the electric daily peak-load forecasting , 2017 .

[4]  Yasser Abdel-Rady I. Mohamed,et al.  Robust DC-Link Voltage Control of a Full-Scale PMSG Wind Turbine for Effective Integration in DC Grids , 2017, IEEE Transactions on Power Electronics.

[5]  Li Jun,et al.  Reliability models of wind farms considering wind speed correlation and WTG outage , 2015 .

[6]  Michael N. Vrahatis,et al.  Particle Swarm Optimization Method for Constrained Optimization Problems , 2002 .

[7]  Essam M. Rashad,et al.  Voltage and frequency control of a stand-alone wind-energy conversion system based on PMSG , 2015, 2015 4th International Conference on Electric Power and Energy Conversion Systems (EPECS).

[8]  Willett Kempton,et al.  The challenge of integrating offshore wind power in the U.S. electric grid. Part I: Wind forecast error , 2017 .

[9]  Le Quang Sang,et al.  Experimental investigation of the cyclic pitch control on a horizontal axis wind turbine in diagonal inflow wind condition , 2017 .

[10]  Ahmed M. Kassem,et al.  Load parameter waveforms improvement of a stand-alone wind-based energy storage system and Takagi–Sugeno fuzzy logic algorithm , 2014 .

[11]  Danilo Herrera,et al.  Method for controlling voltage and frequency of the local offshore grid responsible for connecting large offshore commercial wind turbines with the rectifier diode-based HVDC-link applied to an external controller , 2017 .

[12]  Ludger Blum,et al.  Electrochemical characterization of Fe-air rechargeable oxide battery in planar solid oxide cell stacks , 2016 .

[13]  Tore Undeland,et al.  Voltage and Frequency Control in Offshore Wind Turbines Connected to Isolated Oil Platform Power Systems , 2012 .

[14]  Mosayeb Bornapour,et al.  Optimal stochastic scheduling of CHP-PEMFC, WT, PV units and hydrogen storage in reconfigurable micro grids considering reliability enhancement , 2017 .

[15]  Willett Kempton,et al.  The challenge of integrating offshore wind power in the U.S. electric grid. Part II: Simulation of electricity market operations , 2017 .

[16]  Jaewan Suh,et al.  Flexible Frequency Operation Strategy of Power System With High Renewable Penetration , 2017, IEEE Transactions on Sustainable Energy.

[17]  M. Chinchilla,et al.  Control of permanent-magnet generators applied to variable-speed wind-energy systems connected to the grid , 2006, IEEE Transactions on Energy Conversion.

[18]  Eduard Muljadi,et al.  Power Smoothing of a Variable-Speed Wind Turbine Generator in Association With the Rotor-Speed-Dependent Gain , 2017, IEEE Transactions on Sustainable Energy.

[19]  M. Clerc,et al.  Particle Swarm Optimization , 2006 .

[20]  Caisheng Wang,et al.  Power Management of a Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System , 2008, IEEE Transactions on Energy Conversion.

[21]  Michael Negnevitsky,et al.  A Novel Control Strategy for a Variable Speed Wind Turbine with a Permanent Magnet Synchronous Generator , 2008, 2008 IEEE Industry Applications Society Annual Meeting.

[22]  Yasunori Mitani,et al.  RBF neural network-based online intelligent management of a battery energy storage system for stand-alone microgrids , 2016 .

[23]  Reza Hemmati,et al.  Technical and economic analysis of home energy management system incorporating small-scale wind turbine and battery energy storage system , 2017 .

[24]  Taher Niknam,et al.  A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem , 2010 .

[25]  Hossein Shahinzadeh,et al.  A profitability investigation into the collaborative operation of wind and underwater compressed air energy storage units in the spot market , 2017 .

[26]  Reza Hemmati,et al.  Optimal design and operation of energy storage systems and generators in the network installed with wind turbines considering practical characteristics of storage units as design variable , 2018, Journal of Cleaner Production.

[27]  Reza Hemmati,et al.  Advanced control strategy on battery storage system for energy management and bidirectional power control in electrical networks , 2017 .

[28]  Reza Hemmati,et al.  Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option , 2017 .

[29]  Yue Yuan,et al.  On Generation Schedule Tracking of Wind Farms With Battery Energy Storage Systems , 2017, IEEE Transactions on Sustainable Energy.