基于分布式电源有功无功调节能力的配电网无功规划

传统的无功规划方法在应对小概率极端电压场景时往往要求配电网投资大量的无功补偿装置。为此，基于分布式电源及负荷场景，提出一种配电网无功规划模型，该模型充分利用了分布式电源的有功、无功调节能力，在小概率极端电压场景下将分布式电源有功调节作为一种附加电压调节手段，并以无功补偿装置投资费用和分布式电源有功调节费用之和最小为目标以减少系统总支付费用。提出一种嵌入原始对偶内点法的粒子群优化算法对模型进行求解。通过对自定义IEEE 30节点系统进行仿真分析，验证了所提模型的经济性和所提算法的有效性。

Reactive power planning of distribution network based on active-reactive power adjustment capability of distributed generation

The traditional reactive power planning methods often require the distribution network to invest a large quantity of reactive power compensation devices when dealing with small probability extreme voltage scenes. Therefore, a reactive power planning model of distribution network is proposed based on the scenes of distributed generation and load, which fully uses the active-reactive power adjustment capability of distributed generation, makes the active power adjustment capability of distribution generation as an additional voltage adjustment measure under small probability extreme voltage scenes, and takes the minimum sum of investment cost of reactive power compensation devices and the active power adjustment cost of distributed generation as the objective to reduce the total payment of power system. A particle swarm optimization algorithm embedded with the original dual interior point method is proposed to solve the model. The simulation analysis of self-defined IEEE 30-bus system verifies the economy of the proposed model and the effectiveness of the proposed algorithm.