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Model Predictive Control of Wind Energy Storage System for Frequency Regulation
Abstract This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.
Model Predictive Control of Wind Energy Storage System for Frequency Regulation
Abstract This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.
Model Predictive Control of Wind Energy Storage System for Frequency Regulation
Khalid, Muhammad (author) / Savkin, Andrey V. (author)
2011-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Model Predictive Control , Energy Storage System , Real Frequency , Battery Energy Storage System , Control System Model Engineering , Renewable and Green Energy , Sustainable Development , Civil Engineering , Operating Procedures, Materials Treatment , Environmental Monitoring/Analysis , Energy Efficiency (incl. Buildings)
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