Operation Loss Reduction Control for Large-scale Wind Farm Based on Hybrid Modeling Simulation

doi:10.16182/j.issn1004731x.joss.19-0128

Abstract

Abstract: Due to the large number of transformers and collection lines in large-scale wind farms, the losses of collecting system is serious in actual operation. A reactive power/voltage control strategy is proposed, which takes wind turbines as the distributed reactive power sources to optimize the power flow in wind farm and reduce the overall losses of collector system. To improve the efficiency of wind farm modeling and multi-scene loss reduction simulation, a hybrid modeling and simulation scheme based on combining object model configuration and control algorithm programming is proposed. The wind farm model consists of module configuration, and can be called by the engine file formed by the control algorithm to implement the simulation optimization. The effectiveness of the proposed optimal control strategy and the hybrid simulation modeling method are verified by a study on the loss reduction control of a 125 MW large wind farm.

Key words: wind farm, energy-saving, reactive power control, genetic algorithm, particle swarm optimization

CLC Number:

TP391.9

Xiao Yunqi, Wang Yi. Operation Loss Reduction Control for Large-scale Wind Farm Based on Hybrid Modeling Simulation[J]. Journal of System Simulation, 2020, 32(9): 1831-1838.

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