Research On Optimal Dispatching Of Regional Power Grid Including Wind And Solar Energy Storage

Due to the intermittent and uncertain characteristics of wind and solar power generation,instantaneous or unplanned power fluctuations have greatly increased,the peak shaving pressure of the regional power grid has been rising,and the absorption capacity of new energy has also been affected.In order to solve the above problems,this paper started from the two dimensions of space scale and time scale,and deeply studied the optimal dispatch strategy of regional power grids containing wind and solar storage.The main content and results included:In view of the new problems that the characteristics of wind and solar output bring to the operation of regional power grids,this paper studied the optimal dispatching strategies of regional power grids with wind and solar storage from different dimensions in time and space scales.From the time point of view,the output plan corresponding to the time point of the optimization scheduling result of the day before was passed to the intraday rolling optimization process,and the corresponding state variables were rolled to make the intraday scheduling plan.From a spatial perspective,a cross-regional interconnection optimal dispatch strategy for regional power grids containing wind and solar storage at multiple spatial scales was proposed,which realized the source-load complementation and peak staggering benefits of multi-regional power grids at multiple spatial scales,and improved the optimal utilization of system-wide resources.In response to the proposed optimal dispatch strategy for the regional power grid with wind and solar storage,a regional power grid model with wind and solar storage was established.First,the power generation characteristics of each internal power generation unit model and the charge and discharge characteristics of the energy storage unit were analyzed in detail;then,starting from the two dimensions of time and space,a multi-time and multi-space-scale regional power grid optimization dispatch model was established,and the dispatch was optimized recently.The multi-objective optimization model of the regional power grid was constructed from the two perspectives of the operating cost of the regional power grid and the smooth power flow output;the intra-day optimized dispatch phase constructed the regional power grid from the two perspectives of the economic benefits of intra-day modified dispatch and the optimal adjustment of dispatchable units.The multi-objective optimization model was used to revise the dispatchable unit output plan.In the multi-space-scale scheduling model,the goal was to reduce the total operating cost and total network loss of the system,improve the comprehensive operating efficiency of the system,stabilize the power flow distribution of the multi-regional system,and ensure the safe and stable operation of the power grid.A multi-objective search algorithm based on particle swarm algorithm,which was improved by using nonlinear dynamic inertia weight coefficient and asynchronous change learning factor,was proposed to solve the model.Finally,taking the actual operating systems in Turpan and Bazhou in Xinjiang as examples,the optimization scheduling strategy and model of multi-dimensional regional power grids containing wind and solar storage were simulated and verified.The results showed that the strategies and models proposed in this paper improved the overall operating efficiency of the system and reduced the total network loss of the actual operating system.At the same time,it effectively stabilized the upper-level power grid and the regional power grid.Power fluctuations realized the coordinated and optimized allocation of system-wide resources,gave full play to the source-load complementation and peak staggering benefits between different regions,and improved the comprehensive utilization rate of new energy.