A novel power management control strategy for a renewable stand-alone power system

This paper proposes an overall power management control strategy of a stand-alone power supply system consisting of wind turbine and battery storage system. The overall control strategy consists of two layer structure. The upper layer is overall power management controller that generates the reference signal for the local controller. Based on reference signal, the local controllers control the wind energy conversion system and energy storage system. The wind energy conversion system is controlled in order to achieve optimum power from the changing wind. The energy storage system is controlled by a bi-directional dc-dc controller. The performance of the controller is verified in a simulated wind and load conditions and results are presented.

[1]  Zijun Zhang,et al.  Adaptive Control of a Wind Turbine With Data Mining and Swarm Intelligence , 2011, IEEE Transactions on Sustainable Energy.

[2]  M Nasir Uddin,et al.  A Novel Fuzzy-Logic-Controller-Based Torque and Flux Controls of IPM Synchronous Motor , 2010, IEEE Transactions on Industry Applications.

[3]  R.G. Harley,et al.  Control of IPM Synchronous Generator for Maximum Wind Power Generation Considering Magnetic Saturation , 2007, 2007 IEEE Industry Applications Annual Meeting.

[4]  R.J. Best,et al.  Synchronous Islanded Operation of a Diesel Generator , 2007, IEEE Transactions on Power Systems.

[5]  Tao Zhou,et al.  Energy Management and Power Control of a Hybrid Active Wind Generator for Distributed Power Generation and Grid Integration , 2011, IEEE Transactions on Industrial Electronics.

[6]  Jin-Hong Jeon,et al.  Dynamic Modeling and Control of a Grid-Connected Hybrid Generation System With Versatile Power Transfer , 2008, IEEE Transactions on Industrial Electronics.

[7]  Michael Negnevitsky,et al.  An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of the Arc Furnace Resistance , 2010, J. Adv. Comput. Intell. Intell. Informatics.

[8]  C. Singh,et al.  Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm , 2009, IEEE Transactions on Energy Conversion.

[9]  Farshid Keynia,et al.  Short-Term Load Forecast of Microgrids by a New Bilevel Prediction Strategy , 2010, IEEE Transactions on Smart Grid.

[10]  E. Muljadi,et al.  Power quality issues in a hybrid power system , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[11]  D. A. Halamay,et al.  Optimal Energy Storage Sizing and Control for Wind Power Applications , 2011, IEEE Transactions on Sustainable Energy.

[12]  Yi Zhang,et al.  Probabilistic wind energy modeling in electric generation system reliability assessment , 2010 .

[13]  Tapas Kumar Saha,et al.  Design Optimization and Dynamic Performance Analysis of a Stand-Alone Hybrid Wind–Diesel Electrical Power Generation System , 2010, IEEE Transactions on Energy Conversion.

[14]  K. Tan,et al.  Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors , 2004, IEEE Transactions on Energy Conversion.

[15]  Shigeo Morimoto,et al.  Sensorless output maximization control for variable-speed wind generation system using IPMSG , 2003 .

[16]  Michela Robba,et al.  A Dynamic Decision Model for the Real-Time Control of Hybrid Renewable Energy Production Systems , 2010, IEEE Systems Journal.

[17]  Yasuyuki Shirai,et al.  Hybrid Power Generation System Using Offshore-Wind Turbine and Tidal Turbine for Power Fluctuation Compensation (HOT-PC) , 2010, IEEE Transactions on Sustainable Energy.

[18]  L.Y. Pao,et al.  Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture , 2006, IEEE Control Systems.

[19]  Junji Tamura,et al.  Operation and Control of HVDC-Connected Offshore Wind Farm , 2010, IEEE Transactions on Sustainable Energy.

[20]  Li Wang,et al.  Combining the Wind Power Generation System With Energy Storage Equipment , 2009, IEEE Transactions on Industry Applications.

[21]  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.

[22]  Bhim Singh,et al.  Load Compensation for Diesel Generator-Based Isolated Generation System Employing DSTATCOM , 2011, IEEE Transactions on Industry Applications.

[23]  Chung-Liang Chang,et al.  Combining the Wind Power Generation System with Energy Storage Equipments , 2008, 2008 IEEE Industry Applications Society Annual Meeting.

[24]  Bin Wu,et al.  A Novel Control Scheme for Current-Source-Converter-Based PMSG Wind Energy Conversion Systems , 2009, IEEE Transactions on Power Electronics.

[25]  Zijun Zhang,et al.  Short-Horizon Prediction of Wind Power: A Data-Driven Approach , 2010, IEEE Transactions on Energy Conversion.

[26]  Yi Zhang,et al.  Probabilistic Wind Energy Modeling in Electric Generation System Reliability Assessment , 2010, IEEE Transactions on Industry Applications.

[27]  P. Goel,et al.  Isolated Wind–Hydro Hybrid System Using Cage Generators and Battery Storage , 2011, IEEE Transactions on Industrial Electronics.

[28]  M. Negnevitsky,et al.  Very short-term wind forecasting for Tasmanian power generation , 2006, 2006 IEEE Power Engineering Society General Meeting.