Research On Optimal Scheduling Of Power System Considering The Uncertainty Of Multi-type Demand Response

At present,China vigorously develops renewable energy such as wind power to realize the adjustment of energy structure.However,the peak valley difference of the net load of the system increases day by day due to the inverse peak regulation characteristics of wind power.With the development of social economy,the power demand in peak load period keeps increasing.The dual pressure of power supply and load increases the load of peak load regulation,which brings severe challenges to the operation and dispatching of power system.Demand response can guide users to change their electricity consumption behavior through electricity price mechanism or incentive means,which is one of the important means to promote new energy consumption and ease the tension of system power supply.How to reasonably stimulate users to participate in demand response to make the optimal economic benefits of system scheduling is worth studying.Moreover,the demand response is uncertain due to the user’s response behavior,which also affects the economic dispatch of power system.Therefore,considering the uncertainty of demand response,it is of theoretical significance and practical value to study multi-type demand response participating in system optimal scheduling.In this paper,considering the uncertainty of demand response,the problem of multiple types of demand response resources participating in system optimal scheduling is deeply studied.This paper discusses how to tap the potential of multi-type demand response resources to achieve good and effective interaction between power suppliers and users.Firstly,taking wind power as an example,this paper expounds the development status and trend of new energy at home and abroad,and analyzes the advantages and necessity of developing demand response to improve the absorption capacity of new energy.This paper focuses on the research status and shortcomings of demand response in system optimization scheduling,which lays a foundation for the research direction and content of this paper.Secondly,the types of transferable resources and the potential to participate in demand response are elaborated.Considering the actual operation characteristics of the load,the unified load models of the transferable household appliances and the transferable industrial load are established respectively.On the basis of maximizing the market revenue of user participation in demand response,the optimal dispatching model of power system considering the behavior of transferable load response is constructed with the lowest system cost as the objective function.Based on the example analysis of 10 units system,the response behavior of transferable load and its influence on the economic dispatch of the system are analyzed.Then,taking the air conditioning load as an example,the curtailable load model is established.Considering the response behavior of curtailable load,a user’s comfort evaluation index is proposed.Taking the lowest comprehensive cost of the system as the objective,the user comfort is included in the demand response constraints,and the model of reducing class load participating in the optimal scheduling of the system is constructed.At last,through an example of a 10 units system,it is verified that the load can be reduced effectively to reduce the comprehensive operation cost of the system under the certain comfort of the user.Finally,this paper analyzes the related factors that lead to the uncertainty of demand response in detail.Based on the consumer psychology and the changing law of the response uncertainty of the transferable load,the uncertainty model of the price demand response is constructed.Considering the actual response error of the reducible load,the uncertainty model of the incentive demand response is established.On this basis,the optimal dispatching model of power system considering uncertainty of multi-type demand response is constructed.The influence of the uncertainty of demand response on the optimal scheduling of the system is analyzed in depth,and the effectiveness of the model is verified by the analysis of an example.