Synthetic Inertial Control of Wind Farm with BESS Based on Model Predictive Control

Weiyu Bao, Qiuwei Wu, Lei Ding, Sheng Huang, Fei Teng, Vladimir Terzija

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Abstract

Wind farms (WFs) can provide controlled inertia through synthetic inertial control (SIC) to support system frequency recovery after disturbances. This paper proposes a model predictive control (MPC) based SIC for a WF consisting of wind turbines (WTs) and a battery storage energy system (BESS). In the proposed MPC-SIC, the active power output of the WTs and BESS during the SIC are optimally coordinated in order to avoid over-deceleration of the WTs’ rotor, and minimize the loss of extracted wind energy during the SIC and degradation cost of the BESS. The IEEE 39 bus system with a WF consisting of 100 WTs and a BESS is used to validate the performance of the proposed MPC-SIC. Case studies show that, compared with the conventional SIC, the minimum rotor speed among all WTs with MPC-SIC can be improved by 0.08-0.11 p.u., the loss of captured wind energy of WF with MPC-SIC can be reduced by 12%-64% and the degradation cost of the BESS with MPC-SIC can be reduced by 72%-83%. The results proves that with the proposed MPC-SIC, the wind farm can avoid the over-deceleration of the WTs’ rotor and reduce the operation cost of the WF by improving the efficiency of wind energy usage and lifetime of the BESS.
Original languageEnglish
JournalI E T Renewable Power Generation
Volume14
Issue number13
Pages (from-to)2447-2455
ISSN1752-1416
DOIs
Publication statusPublished - 2020

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