Adaptive Time-Intervalled Reactive Power Optimization for Distribution Network Containing Wind Power Generation
Adaptive Time-Intervalled Reactive Power Optimization for Distribution Network Containing Wind Power Generation
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作者：
L. Hua
针对含风力发电的配电网中风力发电机负荷波动和出力不稳定的问题，提出了一种自适应的时间间隔优化策略，通过时间间隔优化实现了无功功率的动态调整。根据风电机组出力和负荷的波动程度，确定各时段的最佳持续时间。在此基础上，考虑到运行环境的变化和决策者的需求，提出了一种新的含决策偏好因子的时段优化方法。以降低网损和电压偏差为目标，采用多目标粒子群优化算法（MOPSO）求解含风力发电的配电网多目标无功优化模型。以改进的IEEE 30节点系统为例进行了仿真，仿真结果验证了所提方法和模型的有效性。
In allusion to load fluctuation and output intermittence of wind power generators in distribution network containing wind power generation, an adaptive time-intervalled optimization strategy is proposed, and through the time-intervalled optimization the dynamic adjustment of reactive power can be realized. According to the fluctuation extent of both wind power generator output and load, the optimal duration of each time interval is determined. On this basis, considering the variation of operation environment and the demand of the decision-maker, a new time-intervalled optimization method containing decision preference factor is put forward. Taking the reduction of both network loss and voltage deviation as the objective, the multi-objective particle swarm optimization(MOPSO) algorithm is adopted to solve the multi-objective reactive power optimization model for distribution network containing wind power generation. Taking the modified IEEE 30-bus system as the example, the simulation is performed, and the effectiveness of the proposed method and model are validated by simulation results.