Study On "Source-Load-Storage" Optimal Scheduling Strategy For Improving System Capability-Adjusting

In order to relieve the pressure of fossil energy exhaustion and promote the clean energy structure in China,we pay more attention to and invest more in new energy power generation.China is rich in wind power resources and wind power is on the rise.However,the increasing proportion of wind power in the power system and the randomness and instability of wind power bring great disturbance to the peak-load-time.The traditional dispatch mode that relied on hydraulic and thermal power generation for peak-load-time can no longer meet the demand of large-scale wind power grid integration,so it is necessary to look for other dispatch resources so as to improve the flexibility of grid regulation and wind power consumption,the optimal scheduling of source-load-storage coordination has become an important method to improve the flexibility of the system and the level of wind energy dissipation.Therefore,the study of source-charge-storage optimal scheduling strategy based on improving the flexibility of the system has theoretical basis and practical significance.Firstly,based on the typical load output curve,this paper analyzed the impact of wind power output on the system in peak,average and valley periods of load,and put forward the index of wind power load time series coupling degree.The index also reflected the coupling relationship between load and wind power output in peak and low load periods.Combined with the coupling relationship between wind power and load in peak and low load periods,it further reflects the coupling degree of wind power and load between peak and low load periods.Then,the improved k-means algorithm was used to process the data of the annual wind power output curve of a wind farm in Xinjiang,and the typical wind power output scenarios of each quarter are obtained.However,in the process of data processing,the wind power scenarios with low probability will be lost,and there will be special wind power output scenarios that affected the stable operation of the system in the lost wind power scenarios The time series coupling index selects the special wind power output scenarios of each quarter from the scenarios that did not include the typical wind power scenarios,and combined the two scenarios to obtain the comprehensive wind power output scenarios.Finally,the time series coupling index of wind power and load in the integrated wind power output scenario was calculated,and the results showed that the wind power in this region had strong anti peak regulation characteristics.Then,the characteristics of conventional water,thermal power,wind turbine,high re energy load and energy storage were analyzed to tap the regulation potential of source load storage and established a mathematical model.Then,a day ahead day optimal scheduling strategy was proposed.In the peak load regulation plan,taking the system cost optimization as the goal,peak load shifting was carried out in the coupling period of wind power and load,and the daily output plan of conventional units was determined.In addition,the energy storage battery was added to the daily optimal operation,aiming at maximization of the maximum operating income of the storage battery,and by adjusting the output of the conventional unit and the output of the storage battery to stabilize the fluctuation of the wind power.In the simulation part,a power grid in Xinjiang was taken as the background,and the inertia weight particle swarm optimization algorithm was used to solve the problem,which verified the feasibility of the proposed method in improving the system regulation ability.