Reactive Power Optimal Control of a Wind Farm for Minimizing Collector System Losses

Yunqi Xiao, Yi Wang and Yanping Sun
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Yunqi Xiao: Department of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Yi Wang: Department of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Yanping Sun: North China Electric Power Research Institute Co., Ltd., Beijing 100032, China

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

Abstract: A reactive power/voltage control strategy is proposed that uses wind turbines as distributed reactive power sources to optimize the power flow in large-scale wind farms and reduce the overall losses of the collector system. A mathematical model of loss optimization for the wind farm collector systems is proposed based on a reactive power/voltage sensitivity analysis; a genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to validate the optimization performances. The simulation model is established based on a large-scale wind farm. The results of multiple scenarios show that the proposed strategy is superior to the traditional methods with regard to the reactive power/voltage control of the wind farm and the loss reduction of the collector system. Furthermore, the advantages in terms of annual energy savings and environmental protection are also estimated.

Keywords: energy savings; wind farm; reactive power dispatch; genetic algorithm; particle swarm optimization (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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