Research On Multi-source Coordinated Dispatching Of Power System Under Typhoon Environment

As an extreme natural disaster,typhoon has strong destructive power,and the renewable energy in the power grid exposed to the external environment is extremely vulnerable to typhoons.In recent years,the power grid construction in the southeast coastal areas of China has developed rapidly,and the number of wind farms affected by severe weather conditions has gradually increased.How to understand and master the influence law of extreme natural disaster meteorology on power grid so as to ensure the safety of power grid operation has become a key problem that needs to solve urgently.Based on extreme scenario of typhoon environment,this paper studies the multi-source coordinated dispatching method of power system under typhoon environment,aiming to promote the low-carbon economic operation of power system in the southeast coastal areas of China under typhoon environment while ensuring the safety of power grid operation.First of all,based on the distribution of onshore wind farms in Fujian province,equivalent wind farms are obtained through aggregation and corresponding active power output models of wind farms are established.According to the different static typhoon wind fields,based on the wind field profile and the fitting effect of the real typhoon situation,the suitable typhoon wind field is selected for the calculation of wind farm's active power output.Meanwhile,taking Typhoon “meranti” as an example,this method is used to analyze the temporal and spatial variation of wind farms' active power output during the typhoon,so as to provide a reference for the reasonable arrangement of wind farms in different affected areas during typhoons,improving economic and environmental benefits of system operation on the premise of ensuring the safety of power grid operation.Secondly,according to the deep learning theory,a small hydropower output prediction method based on CNN was established,which based on the rainfall and rainfall runoff data of GLDAS2.0 database.Through the rainfall image recognition training of CNN,the rainfall runoff of small hydropower cluster area during the typhoon rainfall in the future is forecasted.Then,the conversion is accomplished combined with the real data of rainfall runoff and small hydropower active power output based on probability expectation mode,which in order to obtain the small hydropower active power output prediction results of the small hydropower cluster area during the typhoon rainfall.At the same time,the effectiveness of the method is verified by an example analysis.Finally,combined with the research results of wind power and hydropower output during the typhoon,a multi-objective function optimization dispatching model of coal power coal consumption,pollution,total power purchase cost of power grid and wind curtailment measured by membership function was established,which considers the conventional constraints and line safety constraints.Combined with the real example analysis,the results show that after the renewable power outputs are determined by prediction under typhoon scene,the proposed multi-source coordinated dispatching strategy under typhoon environment can effectively promote the economy and environmental protection of power system operation on the premise of ensuring the safety of power grid operation,which benefits detailed scheduling for dispatching department.