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Primary Frequency Controller with Prediction-Based Droop Coefficient for Wind-Storage Systems under Spot Market Rules

Shengqi Zhang (), Yateendra Mishra (), Bei Yuan (), Jianfeng Zhao () and Mohammad Shahidehpour ()
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Shengqi Zhang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Yateendra Mishra: School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
Bei Yuan: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Jianfeng Zhao: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Mohammad Shahidehpour: Illinois Institute of Technology, Chicago, IL 60616, USA

Energies, 2018, vol. 11, issue 9, 1-19

Abstract: Increasing penetration levels of asynchronous wind turbine generators (WTG) reduce the ability of the power system to maintain adequate frequency responses. WTG with the installation of battery energy storage systems (BESS) as wind-storage systems (WSS), not only reduce the intermittency but also provide a frequency response. Meanwhile, many studies indicate that using the dynamic droop coefficient of WSS in primary frequency control (PFC) based on the prediction values, is an effective way to enable the performance of WSS similar to conventional synchronous generators. This paper proposes a PFC for WSS with a prediction-based droop coefficient (PDC) according to the re-bid process under real-time spot market rules. Specifically, WSS update the values of the reference power and droop coefficient discretely at every bidding interval using near-term wind power and frequency prediction, which enables WSS to be more dispatchable in the view of transmission system operators (TSOs). Also, the accurate prediction method in the proposed PDC-PFC achieves the optimal arrangement of power from WTG and BESS in PFC. Finally, promising simulation results for a hybrid power system show the efficacy of the proposed PDC-PFC for WSS under different operating conditions.

Keywords: primary frequency control; wind storage system; droop coefficient; Kalman filter; spot market (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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