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Model Predictive Control of Wind Energy Storage System for Frequency Regulation

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Sustainability in Energy and Buildings

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 7))

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.

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Khalid, M., Savkin, A.V. (2011). Model Predictive Control of Wind Energy Storage System for Frequency Regulation. In: Howlett, R.J., Jain, L.C., Lee, S.H. (eds) Sustainability in Energy and Buildings. Smart Innovation, Systems and Technologies, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17387-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-17387-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17386-8

  • Online ISBN: 978-3-642-17387-5

  • eBook Packages: EngineeringEngineering (R0)

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