Distributionally Robust Optimal Dispatch In The New Power System Of Considering The Uncertainty Of Net Load Moment

In order to solve the increasingly urgent issues of energy security,environmental degradation,and climate change,and reduce the dependence on fossil energy,China is building a clean and low-carbon energy system dominated by renewable energy,and accelerating the transformation of green energy structure,which provide important supports for carbon neutral by 2060.In recent years,represented by wind power generation,renew-able energy generation has developed rapidly.However,wind power generation is affected by natural conditions and shows the characteristics of intermittence and volatility.On the basis of the existing regulation capacity of the system,with the increase of wind and solar penetration rate,the phenomenon of abandoning wind and light is prominent.In addition,reverse distribution pattern of power resources and demand in my country.Large-scale and long-distance inter-regional power transmission is the main means for optimizing the allocation of large-scale clean energy.Therefore,studying the optimal dispatching of a new power system with a high proportion of wind and wind access and a high proportion of cross-regional power transmission has important theoretical and practical significance for achieving carbon neutrality.Firstly,the paper introduces China’s new power system architecture system.It proposed a"three-stage" interconnection dispatch framework for a new power system with a high proportion of clean energy under the plan-market dual-track system.Secondly,mathematically describe the strong volatility and randomness of the high proportion of scenery.Through the core principal component analysis algorithm and the self-organizing feature mapping neural network algorithm,the scenes of scenery output are clustered.Probabilistic analysis of the clustering results,proposed based on the net load(the difference between load demand and wind and solar output)power data driven moment uncertainty set and parameter acquisition method.The risk of wind abandonment and solar abandonment caused by random fluctuations in net load is described by means of the distributionally robust optimization conditional risk value.Then,a new type of interconnected power system sub-brochure optimal scheduling model considering the coupling constraints of the tie lines between systems and the risk of abandoning wind and solar power is established,and the distributionally robust optimization model is solved through dual conversion and KKT conditions.Finally,on the basis of the two-tier model,considering the impact of the dynamic reserve margin in the system on the system security scheduling.The cascade hydropower-thermal power-controllable load maximum positive/negative dynamic reserve margin model is described,and the water-fire-load dynamic reserve cost compensation method is proposed.The paper establishes a two-stage optimal dispatch model for a new power system that minimizes system operating costs and minimizes system reserve purchase costs.The two-stage model solution is completed by the column and constraint generation algorithm.Numerical example simulation proves that using the uncertainty set of moments proposed in the paper to describe net load fluctuations is more accurate than the traditional probability distribution.In addition,the distributionally robust optimization model and two-stage model take into account the economics of dispatching and the robustness of operation,and improve the wind-solar consumption rate in the system.In summary,the method of describing the set of moment uncertainty driven by the net load power data proposed in the thesis,the distributionally robust optimization scheduling model considering the risk of net load moment uncertainty,and the two factors that take account of the water-fire-load dynamic reserve margin Stage optimization scheduling method.These methods provide important theoretical support for the optimal dispatch of new power systems.