Research On Demand Response Strategy Of Urban Residential Flexible Load

In recent years,with the steady growth of China's electricity load,summer peak load in many provinces and cities across the country hit a new high in successive years.Therefore,an urgent is needed for the demand side to participate in demand response to alleviate the huge pressure on investment in power grid construction and to improve the flexibility and reliability of power system operation.Among China's overall power load,urban residential load is one of the relatively high-power proportion loads.With the reformation of electric power market and the development of smart grid technology and Internet of things technology,the flexible load of residents represented by smart home appliances has begun to be widely used on the load side of residents.Hence,a new type of urban residential load structure has been formed,which enables residential load to participate in China's demand response under different demand response programs mechanisms.In addition,thanks to the development of smart grid technology,the grid utility can collect more detailed electricity consumption data from the residential demand side to provide more services.For the newly built urban residential load structure supported by China's smart grid technology,it is necessary to establish a demand response strategy that can completely adapt to the load structure to support its demand response participation under different demand response mechanisms in China.In addition,when the residential load participates in the demand response,the uncertainties of the residents' electricity consuming behavior is not negligible in formulating the demand response strategy.In this paper,based on the randomness of residential electricity consumption,the detailed utilization of residential electricity data available from the grid side is thoroughly utilized,and the flexible load demand response strategy system applicable to the new urban residential demand side in China is studied.The main research contents of this paper are as follows.Research on modeling of urban residential load uncertainty.Taking full advantage of the detailed electricity consumption data of residential users available under the support of smart grid technology,this paper proposes a method to model the uncertainty of residential load with Copula function as core.Monte Carlo simulation is employed for the established stochastic model to generate multiple scenarios,which can provide support for the residential flexible load stochastic scheduling strategy.The method firstly utilizes kernel density estimation method to estimate the probability distribution of residential uncertain load and temperature.Then the Gaussian Copula function is selected to model different joint probability distributions.Afterward,the Copula function is estimated by semi-parametric estimation method to form the corresponding Copula model.Finally,Monte Carlo simulation is employed to generate multiple scenarios for the stochastic scheduling of residential load demand response,and the proposed stochastic model is compared with the traditional probability model.Research on day-ahead demand response scheduling strategy for urban residential flexible load.Taking load aggregator as the executor of flexible load participating in demand response strategy,a demand response scheduling strategy suitable for urban residential load structure under smart grid circumstance in China is proposed,and a stochastic optimization model of flexible load scheduling is formulated.Smart residential flexible loads are firstly classified into different categories according to different demand response programs,and detailed demand response model for load appliances are built.Secondly,a complete day-ahead stochastic demand response scheduling scheme of urban residential flexible loads is modeled based on the optimization of residential loads and distributed generation.Finally,the validity of the model is verified by numerical simulation and the simulation results under different demand response mechanisms are discussed.Research on real-time demand response scheduling strategy for urban residential flexible load.According to the incentive form of demand response in China,a real-time demand response strategy suitable for urban residential load structure under the circumstance of smart grid in China is proposed and the optimal scheduling model is formulated.This scheme is corresponding to the novel demand response structure of residential load under the newly smart grid circumstance.Based on the random load scenario,a two-stage stochastic optimization model of demand response for flexible load equipment of different residents is firstly built according to the load operation mode.Secondly,the model is combined with random scenarios to form a real-time rolling demand response scheduling optimization strategy for residential flexible loads.Finally,the validity and accuracy of the demand response strategy are verified by numerical simulation,and the simulation results under different demand response mechanisms are discussed.The demand response dispatching strategy and the day-ahead demand response dispatching strategy form the complete system of flexible load demand response strategy for urban residents on time scale.The presented strategy can thoroughly utilize the detailed residential power consumption data and schedule the residential load with high accuracy.It can effectively reduce the peak load,peak-valley difference,and total load power consumption for the grid side.On the other hand,it can effectively reduce the residential electricity consumption cost for the residents.In addition,it can provide support for electric price determination strategy under the market regulation,and the scheduling for smart residential load demand response.