Optimal Scheduling of Source-Load-Storage at Multiple Time Scales Considering the Participation of Multiple Industrial Loads
In order to solve the problem of increasing regulation pressure of conventional units in traditional power grid caused by large-scale new energy access,a multi-time scale optimal dispatching strategy considering energy storage and multi-industrial load participation was proposed.This strategy can effectively relieve the pressure of power grid regulation by coordinating electrolytic aluminum,cement,steel,unproductive load and energy storage on the load side and conventional unit calling plan on the source side.Firstly,the regulation characteristics of energy storage and various industrial loads were analyzed,and a rolling regulation framework of wind-light-load-storage was established.Secondly,aiming at the source load uncertainty,the multi-scenario stochastic programming combined with fuzzy chance constrained goal programming was adopted to establish a multi-time scale scheduling model,which aimed at the optimal system economy in the day-ahead and day-ahead stages,and took into account both security and economy in the real-time scheduling stage.Finally,through the typical days of sufficient and insufficient new energy,it can be seen that the scheduling strategy can give full play to the adjustment ability of controllable resources.The total cost on the two typical days was reduced by 17.08％and 44.13％respectively compared with the previous optimal scheduling,the amount of abandoned new energy was reduced by 39％,and the amount of lost load by 23％,which effectively improved the safety and economy of power grid operation.
industrial loadsenergy storagemultiple time scalesmulti-scenario stochastic programmingfuzzy chance-constrained goal programming
万方数据
维普
