A SVC Optimal Configuration Method in Wind Power Grid System

Abstract:

With the background of large-scale wind power integration grid, in order to reduce wind farm voltage fluctuation and the grid loss, through the scenario analysis method, the objective function model was established to determine the best SVCs compensation capacity and compensation point. Firstly, the initial operation states of the wind power systems were obtained by the Monte Carlo sampling and power flow was calculated to get the reactive power compensation point and its capacity. Then the result of optimization model was calculated by the improved genetic algorithm. IEEE 30 system was taken as an example for the simulation calculation and the calculation results verify the validity of the model.

• Periodical: Applied Mechanics and Materials (Volumes 336-338)
• Pages: 712-717
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.336-338.712
• Online since: July 2013
• Authors: Wen Xia Liu, Yong Yang, Cheng Hui Lin
• Keywords: Genetic Algorithm (GA), Scenario Analysis, Static VAR Compensator (SVC), Wind Power Integration

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