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Multi-objective Particle Swarm Optimization Based Reactive Power Coordination Control Strategy for Wind Farms

机译:基于多目标粒子群优化的风电场无功功率协调控制策略

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Voltage stability problem is one of the most significant problems faced by grid-connected operation of wind farms. Traditionally, each wind farm adjusts its reactive power and voltage independently, which can not be able to optimize the regional power grid dispatching. In order to improve the voltage stability and operating economy of regional power grid connected with medium or large-scale wind farms, this paper presents a reactive power coordination optimization model to satisfy reactive power management of a wind farm group. To solve this multi-objective optimization problem, multi-objective particle swarm optimization algorithm was adopted for fast reactive power regulating of the wind farm group. Simulation results on case study demonstrated the effectiveness and feasibility of the proposed algorithm for reactive power coordination control considering voltage stability and economic operating.
机译:电压稳定性问题是风电场的电网连接的最重要问题之一。传统上,每个风电场独立调整其无功和电压,这无法优化区域电网调度。为了提高与中型风电场连接的区域电网的电压稳定性和运营经济,本文提出了一种无功功率协调优化模型,以满足风电场组的无功功率管理。为了解决这种多目标优化问题,采用了多目标粒子群优化算法进行了风电池组的快速无功功率调节。案例研究的仿真结果证明了考虑电压稳定性和经济运行的无功功率协调控制算法的有效性和可行性。

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