Economic Dispatch Of Wind Power System Based On Classified Load Model And It's Demand Response

In order to solve the problem that the intermittent output and anti-peaking characteristic of wind power damage its consumption after wind power is massively connected to the power system,On the basis of the traditional system scheduling only considering from the power generation side,the demand response behavior is considered to participate in system scheduling.Through the demand side to take the interactive coordination between generation side and demand side to achieve effective wind power consumption,the environmental and economic performance of the system can be improved.Demand response is the basis of joint scheduling of supply and demand side,which is generally divided into price demand response and incentive demand response.Price-based demand response through the price signal to guide the user to adjust their electricity behavior,the incentive-based demand response user signs day-ahead contract with the power system which can provide their callable capacity as a virtual system resource.Both the price-based demand response and the incentive-based demand response can be helpful of peak shaving and valley filling,equilibrium wind power output fluctuation and effective wind power consumption.According to the different types of resources on the demand side,the response behavior of different types of users are analyzed.Residential users participate in price-based demand response for a higher degree as their electricity consumption are small and electricity using hours are loose,.Utilizing residents to change their power mode guided by the price signal,refining its load classification,an optimal scheduling model of system including wind power based on load classification model and its demand response is presented.In this paper,classifying the load into three state function according to the periods and duration of the load,the three kinds of controllable load after transformed by price-based demand response function can be included into electricity load function of each period round the clock.And then a kind of load change rate with wind power fluctuation is proposed,which can be constraints in the system to measure the effect of wind power consumption.Take the minimum cost of electricity generation and the minimum electric charge of users as the objective.The simulation results show that the model can effectively reduce the wind curtailment,save costs of the users and operators,to achieve a win-win situation on supply and demand side.The scene probability method is used to describe the uncertainty of wind power,which can eliminate the low probability scene and get the most likely scenario.Because of their restrictions on commercial peak hours and fixed industrial processes,it is considered that they participate in incentive demand response and participate in system optimization scheduling as virtual backup resources,and establish their own call cost function,into the system total standby costs.Aiming at the different demand response behaviors of residents,commercial and industrial loads,a scenario probability economic scheduling model with multiple types of demand responses is constructed to optimize the total cost of the system,including the unit fuel costs,the total spare cost,and the cost of abandoning the wind.The simulation results show that the model can be helpful effectively to the wind power consumption,reduce the peak and valley difference of the system,smooth the output of the unit and reduce the total running cost of the system on the basis of analyzing the response characteristics of the three types of loads,finally to achieve the synergies between source and load.