Active Demand Response Technology And Its Application In Distribution Network Under The Background Of "Electrified Xinjiang"

A large number of renewable energy sources such as wind power and photovoltaic are distributed in Xinjiang,which brings abundant power output and challenges to the stable operation of the power grid,making the problems of energy supply exceeding the demand,wind abandonment and light abandonment more and more prominent.In view of the downturn of the internal and external power markets,the imbalance of power supply and demand structure,and the continuous deterioration of the problems of wind and light abandonment,the people's Government of Xinjiang Autonomous Region proposes to implement the strategy of "electrified Xinjiang",aiming to improve the capacity of consumption of the power market in Xinjiang,promote the development of new energy,and resolve the contradiction between power supply and demand.With the development of intelligent power grid and demand side management technology,active demand response has broad prospects in improving the flexibility of power grid and dealing with the uncertainty brought by new energy access.Based on the investigation results of Xinjiang's energy structure and consumption,this paper studies a variety of distributed resource optimal scheduling and comprehensive energy system considering demand response under the active demand response of the distribution network,improves the security,economy and flexibility of the power grid from the demand side perspective,so as to create conditions for the new energy consumption and the safe and stable operation of Xinjiang's power grid in the future;and then from Xinjiang power From the perspective of grid practice,the influence of the control mode of wind power grid on grid stability and the game mechanism of distributed demand response resources participating in market operation are studied.The main innovations are as follows:(1)With the rapid development of clean energy and the continuous improvement of high proportion of distributed energy penetration,the phenomenon of line overload and node voltage exceeding the limit of distribution network congestion is becoming more and more serious.For the above congestion problems,this paper proposes a day ahead real-time two-stage congestion management model based on the node price of distribution network by means of load side management.In the day ahead phase,the load aggregator forecasts the node price and distributed energy information and reports it to the dispatcher,In the real-time stage,the load aggregator adjusts the possible deviation of the day ahead plan according to the updated distributed energy information and the distribution network node price.In this paper,an example of ieee33 node is simulated and verified.The result shows that the model can meet the user's power demand and effectively suppress the blocking phenomenon.(2)in view of the park agents in the distribution and separation environment,this paper proposes a strategy for the daily dispatch of intelligent building complexes with high proportion of distributed energy in the park,and describes the operation framework of the park.On the basis of satisfying the user's comfort and energy demand,considering the constraints of transformer and line capacity,aiming at minimizing the operation cost of the park,the electric energy interaction plan between the park and the power grid under the time-sharing tariff is formulated to coordinate the electric energy flow process between buildings.Through the energy sharing within the park,the nearby consumption of electric energy can be realized,and the overall resources can be optimally utilized while the economic benefits can be obtained.The park agent formulates the dispatching strategy under the condition of considering the transformer capacity restriction,and adjusts the user's power consumption plan and energy flow accordingly,so as to avoid the problem of transformer exceeding the limit during the interaction between the park and the power grid.Intelligent park agents manage intelligent building groups,and participate in the grid interaction in the overall form on the basis of internal power sharing.Compared with the cost of individual intelligent buildings trading with the grid alone,it is much lower.Therefore,with the expansion of the scale of intelligent buildings,the economic benefits of power sharing will become increasingly prominent.(3)With the development of the strategy of electrification in Xinjiang,high proportion wind power access has brought great influence on the security of distribution network.In this paper,the mechanism of the direct wind power with static reactive generator is revealed from the angle of impedance characteristics,and the influencing factors are analyzed.Firstly,the output positive and negative sequence impedance model of the grid connected system is established.Based on the stability criterion of multi-terminal impedance characteristics,the mechanism of the influence of the access of static var generator on the system subsynchronous oscillation is revealed,and the influence of different control modes of the static var generator on the system subsynchronous oscillation stability is analyzed and explained,Finally,based on sensitivity,the main control parameters of the static var generator which affect the subsynchronous oscillation are given.The law of the influence of the change of control parameters on the stability of the oscillation is analyzed.According to the above analysis and time domain simulation verification,the safe boundary conditions are created for the active distribution network.(4)With the development of electrified Xinjiang and the reform of electric power market,this paper puts forward the master-slave game model of power supplier and consumer from the perspective of market mechanism,and gives an optimal decomposition price strategy.The purpose is to reduce the peak valley difference of power consumption,improve the income level of power supply side and reduce the expenditure of power consumption side.Based on the consideration of customer satisfaction and power fluctuation cost,the objective function of revenue of power supply side and revenue of power consumption side are established.The decision variables are divided into two strategic sets.Then,the weak party follows the strong party to optimize its own strategy space with its own objective function optimization,and then the strong Party optimizes its own strategy space with its own objective function optimization as its goal according to the weak party's follow-up strategy,and obtains the game equilibrium solution through multiple rounds of games.