区域能源系统中变压器多维测度的优化设计控制研究

Research on optimal design control of transformer multi-dimensional measure in regional energy system

摘要:

针对现有多点分布式光伏电源接入配网后形成区域能源系统的变压器规划设计控制问题,考虑配网中高层建筑负荷、分布式光伏的容量大小、空间位置构建源荷多维测度分析模型；利用统计分析对分布式光伏的四季出力功率数据,片区负荷的用电数据进行处理,得到分布式光伏与负荷的四季时序曲线；采用K-means++算法对负荷区进行三维分区,以负荷矩作为基本测度。并考虑区域内负荷大小、距离、使用率等影响因素,结合分布式光伏电源的时间特性及接入位置等多维测度,研究了三维负荷矩测度的优化计算；利用粒子群优化算法对该模型进行求解,确定变压器位置与容量,采用变压器优化配置双层模型对变压器位置及可控性进行评估与分析；算例结果表明,本研究在多维测度内能够降低变压器优化容量下综合经济成本,变压器位置更接近分区的实际负荷中心。

Abstract:

Aiming at the transformer planning and design control problem of regional energy system after the existing multi-point distributed photovoltaic power supply is connected to the distribution network, the multi-dimensional measurement analysis model of source and load is constructed considering the load of high-rise buildings in the distribution network, the capacity of distributed photovoltaic and the spatial position. Using statistical analysis to process the four-season output power data of distributed photovoltaic and the power consumption data of the load in the area, the four-season time series curve of distributed photovoltaic and load is obtained. The k-means + + algorithm is used to partition the load area in three dimensions, and the load moment is used as the basic measure. Considering the influencing factors such as load size, distance and utilization rate in the region, combined with the multi-dimensional measures such as time characteristics and access location of distributed photovoltaic power supply, the optimization calculation of three-dimensional load moment measure is studied. The particle swarm optimization algorithm is used to solve the model, and the location and capacity of the transformer are determined. The two-layer model of transformer optimal configuration is used to evaluate and analyze the location and controllability of the transformer. The results of the example show that this study can reduce the comprehensive economic cost under the optimal capacity of the transformer in the multi-dimensional measure, and the location of the transformer is closer to the actual load center of the partition.