基于改进风光场景聚类联合虚拟储能的源网荷储低碳优化调度

Low-carbon optimal scheduling of source-grid-load-storage based on improved wind-solar scene clustering combined with virtual energy storage

针对源网荷储优化调度时分布式电源的间歇性引起主动配电网节点电压波动以及有功网损增加等问题,提出一种改进风光场景聚类联合虚拟储能的源网荷储低碳优化调度方法。首先,为有效应对风光出力不确定的挑战,提出一种基于密度噪声应用空间聚类(density-based spatial clustering of applications with noise,DBSCAN)的迭代自组织数据分析算法(iterative self-organizing data analysis techniques algorithm,ISODATA),并以DB指数、Dunn指数和轮廓系数对风光场景聚类效果的优劣进行评价。其次,引入阶梯式碳交易机制,建立以主动配电网综合运行成本最低为目标的优化调度模型。同时,提出用户参与满意度和电网依赖度两种运行评价指标。最后,在IEEE 33节点系统上进行算例仿真分析,结果验证了DBSCAN-ISODATA算法的合理性。并且所提低碳优化调度方法能够有效降低系统碳排放量与运行成本,实现了主动配电网低碳经济稳定运行。

Aiming at the problems of node voltage fluctuation and active power loss increase in active distribution network caused by the intermittence of distributed generation during the optimal scheduling of source-network-load-storage,a low-carbon optimal scheduling method of source-network-load-storage based on improved wind-solar scene clustering combined with virtual energy storage is proposed.First,in order to effectively deal with the challenge of uncertain wind and solar output,an iterative self-organizing data analysis techniques algorithm(ISODATA)based on density-based spatial clustering of applications with noise(DBSCAN)is proposed.The good and bad clustering effects of wind-solar scene are evaluated by DB index,Dunn index and contour coefficient.Secondly,the stepped carbon trading mechanism is introduced,and an optimal scheduling model with the goal of minimizing the comprehensive operation cost of the active distribution network is established.At the same time,two operation evaluation indexes of user participation satisfaction and power grid dependence are proposed.Finally,the example simulation is analyzed in the IEEE 33-node system.The results verify the rationality of the DBSCAN-ISODATA algorithm.The proposed low-carbon optimal scheduling method can effectively reduce the carbon emission and operation cost of the system,and realize the low-carbon economy and stable operation of the active distribution network.