Research On Optimal Scheduling Of Power System Considering Renewable Energy Sources Based On Demand Response

As the wind power generation technology matures,the cost of wind power generation is getting lower and lower.However,the large-scale integration of wind power also brings huge challenges to the traditional power system.In recent years,demand response has the characteristics of widespread distribution,high economy and flexible operation mode.It has shown great potential in response to large-scale wind power integration.In addition,access to a certain capacity of the pumped storage unit,both as a power supply and can be used as a load to deal with the uncertainty of wind power output,help to reduce system operating costs.In this paper,robust linear optimization method is used to characterize the uncertainty of wind power output.The optimal scheduling model of wind farm and pumped storage based on robust optimization and demand response is constructed.The main research contents are as follows:First of all,in the background of large-scale wind power integration,the influence of uncertain factors on the safe operation of power system is introduced.The principle and representation of robust linear optimization are described in detail.The uncertainty of wind power output is also described by the polyhedral set,and the parameter selection in the set is also given.Secondly,the economic dispatch model of wind power consumption considering demand response is established.The implementation mechanism of demand response is described,and the time-of-use price and interruptible load are simultaneously added to the economic dispatch model with wind farm.This paper defines 16 kinds of situations,analyzes the impact of demand response on power system economic dispatching,and the influence of positive and negative rotation reserve constraints on the wind curtailment and wind deficiency.Then,a day-ahead and within-day optimal scheduling model of wind farm and pumped storage based on robust optimization and demand response are respectively established.Based on the model in the third chapter,the pumped storage power station is added to the model of economic dispatching of wind power consumption considering demand response.The objective of the day-ahead model is to minimize the total cost of system operation,which analyzes the influence of on the original scheduling plan while considering the pumped storage unit.Based on the day-ahead objective function,the objective function to minimize the correction cost of wind power and pumped storage output is added.Rotationally correcting the output of thermal power units and pumped storage units within the day to achieve the purpose of improving the level of wind power consumption and system operational economy.Taking the 10-machine system combined with the 24-hour load curve and the wind power output in a certain area as an example,the model proposed in this paper is verified and analyzed.The example results show that the model proposed in this paper can effectively increase the level of wind power consumption and at the same time can guarantee the safe and economical operation of the system.It can provide reference for dispatchers in the economic dispatch of large-scale wind power integration.