Optimal Dynamic Reactive Power Reserve for Wind Farms Addressing Short-Term Voltage Issues Caused by Wind Turbines Tripping

Liang Wu, Lin Guan, Feng Li, Qi Zhao, Yingjun Zhuo, Peng Chen and Yaotang Lv
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Liang Wu: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Lin Guan: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Feng Li: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Qi Zhao: Logistics Center of Guangdong Power Grid Co., Ltd., Guangzhou 510630, China
Yingjun Zhuo: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Peng Chen: Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
Yaotang Lv: Power Dispatching and Control Center of China Southern Grid, Guangzhou 510000, China

Energies, 2018, vol. 11, issue 7, 1-15

Abstract: In regional power grids with high wind power penetration, wind turbine tripping poses great challenges to short-term voltage stability. Dynamic reactive power (VAR) compensation (DVC) plays an important role in securing wind farm operation. To address short-term voltage stability issues, voltage disturbance index (DI) and voltage supporting index (SI) are defined to evaluate the degree of voltage fluctuation and voltage supporting ability of a bus, respectively. Then corresponding vector-type features, called disturbance vector (DV) and supporting vector (SV) are proposed based on the defined indexes. The Kendall rank correlation coefficient is adopted to evaluate the matching degree of DV and SV, so as to determine the influenced area of each wind farm. Candidate locations for DVC are determined sequentially. By comprehensively considering the probability of combined disturbance in each wind farm, a site selection method is proposed and then genetic algorithm is applied to optimize the DVC capacity considering short-term voltage security. The proposed method is applied on a modified NE 39-bus system and a real power grid. Comparison with the engineering practice-based method validates its effectiveness.

Keywords: dynamic VAR compensation; short-term voltage stability; wind turbines tripping; Kendall rank correlation coefficient (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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