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Inductive reactive power compensation optimization for 10kV distribution network with distributed generations

机译:分布式发电的10kV配电网感应无功补偿优化

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Massive distributed generations (DGs), e.g., the small hydropower stations, accessing to the regional power network would result in the shortage of inductive reactive power, which in turn would cause the high voltage issue. An inductive reactive power optimization configuration method towards the 10kV distribution network with DGs is proposed. The methodology was conducted with the minimum of the power loss and the minimum of the voltage deviation as its objectives, and the two objectives were computed by utilizing the multi-objective particle swarm algorithm to obtain the Pareto optimal solutions. Then the fuzzy decision-making approaches are used to get the compromise solution so as to determine the reactive power compensation capacity. An actual regional network is simulated through the Matlab software, and the compared simulation results certify that the proposed method not only has a good voltage regulation effect, but also has the economy superiority in terms of reducing the total amount of the inductive reactive power compensation.
机译:接入小型电网的大型分布式发电设备(DG),例如小型水力发电站,将导致感应无功功率短缺,进而导致高压问题。提出了一种针对带有DG的10kV配电网的感应无功优化配置方法。该方法以最小的功率损耗和最小的电压偏差为目标,并通过多目标粒子群算法计算两个目标以获得帕累托最优解。然后采用模糊决策方法获得折衷解,以确定无功补偿能力。通过Matlab软件对实际区域网络进行了仿真,仿真结果表明,该方法不仅具有良好的调压效果,而且在减少感性无功补偿总量方面具有经济上的优势。

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