Research On Integration Method Of Demand Side Resources And Renewable Energy In Intelligent Distribution Network

Energy is the foundation of economic and social development.At present,the energy supply system based on fossil fuels has also brought a serious energy crisis.Energy security,climate and other issues have become increasingly prominent.Accelerating the development of renewable energy and forming an energy supply system based on renewable energy has become a universal consensus of the international community.However,with the large-scale development of renewable energy such as wind and solar energy,the inherent intermittent and volatility of renewable energy limits its large-scale access to the grid in the absence of system regulation.In view of the consumptive dilemma of large-scale renewable energy,the current practice is mainly from the power supply side,such as strengthening the peaking capacity of thermal power units and installing energy storage.This approach can improve the system's adjustment ability,but it's limited by many factors in practice such as investment costs and equipment flexibility.With the rapid development of smart grid and the maturity of energy Internet technology,the use of demand-side controllable resources to balance the volatility of renewable energy output and improve the level of renewable energy consumption are receiving increasing attention.It vigorously develops demand-side controllable resources,user side energy storage,and electric vehicle from the demand side relying on smart distribution network.Focusing on the demand side resources,this paper discusses the integration of demand side resources and renewable energy in the smart distribution network environment.The main research contents are as follows:(1)The mechanism of the integration of demand side resources and renewable energy at multiple time scales are analyzed.On the basis of reviewing relevant literatures on the integration of demand side resources and renewable energy at domestic and foreign,combined with actual operational data,the output models of typical renewable energy sources such as photovoltaics and wind power are introduced and the volatility and anti-peak characteristics of renewable energy output are described from multiple time scales at first.Then,the connotation and main types of demand side resources participation response are introduced,the response characteristics of demand side resources at different time scales are analyzed and the output model of demand side response is established.Finally,the integration mechanism of demand side resources and renewable energy sources on multiple time scales is analyzed from the perspective of energy balance.(2)An integrated scheduling mode of demand side resources and renewable energy in an intelligent distribution network environment is established.Firstly,based on the characteristics of demand side resources,a three-tier scheduling framework of demand side resource layer,response agent layer and dispatch center layer is established from top to bottom.Then,using the matching characteristics of the demand side resource response characteristics and the renewable energy output characteristics on the time scale,the scheduling model of the demand side resources participate in the system response and consumptive renewable energy is established in the day-ahead,intraday and real time multiple time scales.Finally,taking the electric vehicle's participation in the demand side response as an example,a three-layer dispatching framework for electric vehicles participating in power grid dispatching is established,which verifies that the electric vehicles participate in the demand side response to reduce the operating cost of the system,cut the peaks and fill the valley,and improve the effect of renewable energy consumption.(3)An optimal model for balancing the fluctuation of renewable energy with Incentive based Demand Response(IBDR)is proposed.Firstly,the uncertainty of IBDR and renewable energy output is analyzed.The robust optimization theory is introduced and the uncertainty of IBDR and renewable energy output is described in the form of robust interval.Then,with the optimization objectives of the cost of distribution network operation and the penetration of renewable energy and the constraints of the volatility of renewable energy grid-connected,the response capability of demand side resources and the power balance of system,a robust optimal configuration model under multi-objective conditions is established.Finally,the robust transformation algorithm is used to transform the uncertain optimization problem into a deterministic optimization problem,and the non-dominated set and sorting multi-objective genetic algorithm is used to solve the problem.Taking the actual running distribution network as an example,the proposed model and algorithm are verified.(4)A coordinated optimization operation model of demand side resources and renewable energy under Integrated Energy System(IES)is established.Firstly,basing on the framework of typical clod-heat-electric IES,the multi-energy flow model of IES is established according to the energy flow relationship of energy production,conversion and consumption.Then,from the perspective of energy transfer,the potential to improve system flexibility by transferring system energy through Integrated Demand Response(IDR)is analyzed quantitatively.Finally,considering IDR,a IES operation optimization model is established with the optimization objective of the economical operation of the system and the constraints of the power balance of system and the operational constraints of each equipment,and a solving algorithm for model is proposed.Taking an IES as an example,the proposed model and algorithm are verified.(5)A guarantee mechanism for the effective integration of demand side resources and renewable energy is established.From the three aspects of business model,key technology and policy support of demand side resources and renewable energy integration,the guarantee mechanism of efficient integration is proposed.In terms of business model,this paper analyzes the scenarios of future demand side resources participating in system scheduling,peaking and valley filling,participating in auxiliary services and balancing renewable energy fluctuations,and proposes an incentive mechanism to promote demand side resource development.In terms of key technologies,in view of the difficulties in the response of demand side resources,it is proposed to focus on the development of key technologies such as intelligent use of power,modern communication,large-capacity energy storage and electric vehicles,and support the demand side resources to participate in the response from the technical implementation level.In terms of policy support,the guarantee policy of demand side resource development and demand side resource participation interactive are proposed.