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Optimal Reactive Power Planning Based on Simulated Annealing Particle Swarm Algorithm Considering Static Voltage Stability

机译:考虑静态电压稳定性的基于模拟退火粒子群算法的无功优化规划

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Introducing voltage stability into optimal reactive power planning, and a mathematical model of multi-objective optimal planning for reactive power is established, in which the network loss, investment of reactive compensation equipment, voltage level and static voltage stability margin are considered. In this paper, firstly singular value decomposition method is applied to identify weak bus as candidate nodes for installing new reactive compensation equipment; then the optimal nodes and capacity of reactive power compensation are obtained by solving the model with fuzzy method and simulated annealing particle swarm optimization(SA-PSO) algorithm. The proposed method has significant improvement in decreasing network loss, improving voltage stability and voltage quality of the whole power system, which is proved by the simulation results of IEEE 14-node system.
机译:将电压稳定性引入最优无功规划中,建立了无功多目标最优规划的数学模型,其中考虑了网络损耗,无功补偿设备投资,电压水平和静态电压稳定裕度。本文首先采用奇异值分解法将弱母线确定为候选节点,以安装新的无功补偿设备。然后通过模糊模型和模拟退火粒子群算法(SA-PSO)对模型进行求解,得到无功补偿的最优节点和容量。 IEEE 14节点系统的仿真结果证明,该方法在降低网络损耗,改善整个电力系统的电压稳定性和电压质量方面具有显着改进。

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