To solve the optimization and forecasting problem of spatial load of distribution network in dy-namic areas,the spatial load forecasting system of distribution network based on real-time self-control situa-tional awareness is designed.Firstly,the experience pool of objective decision-making elements of distribu-tion network spatial load forecasting is constructed.Then,the deep long-term and short-term neural network is used to process the historical operation data set of distribution network,so as to realize the real-time auto-matic situational awareness of distribution network.Finally,the coupling model between spatial load fore-casting and the experience pool of target decision-making elements is constructed by using the deep deter-ministic strategy gradient algorithm to realize the efficient and accurate spatial load forecasting of distribution network.The actual example analysis of the model shows that the accuracy of distribution network spatial load forecasting under the scenario of multi type distribution network power supply area is 91.03%,and the efficiency of distribution network spatial load forecasting under the scenario of multi type distribution net-work power supply area is improved by 23.71%.
关键词
自控态势感知/配电网系统/空间负荷预测/限制映射关系/耦合预测模型
Key words
automatic control situation awareness/distribution network system/spatial load forecasting/limit mapping relationship/coupling forecasting model
维普
万方数据