基于主动管理的分布式电源和无功补偿综合优化配置
首发时间:2018-09-07
摘要:为充分利用分布式电源(distributed generation,DG)和无功补偿设备在改善电压质量和降低网损方面的积极作用,建立基于主动管理策略的DG和无功补偿综合优化配置模型。模型中采用拉丁超立方抽样和K-均值聚类构建多场景模型;考虑调节有载调压变压器分接头、DG有功出力和功率因数、需求侧可中断负荷等主动管理的控制措施。采用带精英策略的快速非支配排序遗传算法(non-dominated sorting genetic algorithms-II, NSGA-II)求解以电压总偏差和年综合费用最小为目标的DG和无功补偿综合优化配置模型;采用基于内点法的最优潮流算法求解以主动管理费用和需求侧管理费用最小、可再生能源补贴费用最大为目标的模型。用改进的25节点配电系统验证模型的可行性和有效性。仿真结果表明在主动管理框架下能更好地发挥DG和无功补偿设备的作用。
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Optimal allocation of combined distributed generation and reactive power compensation based on active management
Abstract:In order to make full use of the active role of distributed generation (DG) and reactive power compensation equipment in improving voltage quality and reducing power loss, a comprehensive optimal allocation model of DG and reactive power compensation based on active management strategy was established. In the model, Latin hypercube sampling and K-means clustering are used to construct multi-scenario model, and active management control measures such as adjusting tap-changer, DG active power output and power factor, demand-side interruptible load are considered. A fast non-dominated sorting genetic algorithm with elite strategy (NSGA-II) is used to solve the optimal allocation model of DG and reactive power compensation with the objective of minimizing total voltage deviation and annual comprehensive cost. The optimal power flow algorithm based on interior point method is used to solve the model with the objective of minimizing active management cost, demand side management costand maximizingrenewable energy subsidy cost. The feasibility and effectiveness of the model are verified in the improved 25 node distribution system. The simulation results show that the DG and reactive power compensation equipment can play a better role under the active management framework.
Keywords: distribution network active management distributed generation reactive power compensation multi-scene
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