考虑微能网聚合整形和资产利用率提升的配电网规划

Distribution Network Planning Considering Aggregated Shaping for Micro-energy Grids and Improvement of Asset Utilization Rate

市场环境下,微能网聚合商可通过调节内部各微能网能源设备出力以调整向配电网的购售电功率,从而获取整形补偿。针对当前配电网规划成本高、设备资产利用率有待提升以及未充分挖掘微能网聚合商功率调节潜力的问题,提出一种考虑负荷曲线整形的配电网线路选型规划方法。考虑微能网聚合商内部源荷不确定性以及配电网负载率和峰谷差率约束,提出微能网聚合商整形潜力评估方法和配电网整形需求计算方法。以此为基础,建立考虑微能网聚合整形的配电网优化规划二层模型。上层模型以配电网与微能网聚合商综合效益最优为目标,下层模型以微能网聚合商调节成本最低为目标,实现社会效益最佳和整形功率最优分配;上、下层模型分别以带精英保留策略的遗传算法和分支定界法利用商业软件CPLEX求解。算例仿真结果表明,所提方法可以提高配电网资产利用率和规划方案的经济性。

In the market environment,micro-energy grid aggregators can adjust the power purchased from and sold to the distribution network by adjusting the energy equipment output of internal micro-energy grid to obtain the shaping compensation.In view of the high cost of current distribution network planning,the need to improve the utilization rate of equipment assets,and the failure to fully tap the power regulation potential of micro-energy grid aggregators,a line selection and planning method for the distribution network considering the load curve shaping is proposed.Considering the internal source-load uncertainty of microenergy grid aggregators and load rate and peak-valley difference rate constraints of the distribution network,a shaping potential evaluation method for micro-energy grid aggregators and a shaping demand calculation method for the distribution network are proposed.On this basis,a bi-level model of distribution network optimization planning considering the aggregation and shaping of micro-energy grid is established.The upper-level model aims at the optimal comprehensive benefit of the distribution network and micro-energy grid aggregators,and the lower-level model aims at the lowest adjustment cost of the micro-energy grid aggregators to achieve the best social benefit and the optimal distribution of shaping power.The upper-level and lower-level models adopt the genetic algorithm with reserved elitism and the branch and bound method,respectively,and are solved by using the commercial software CPLEX.The simulation results of a case show that the proposed method can improve the asset utilization and the economy of the planning scheme.