Optimal Dispatch Strategy Of Electric Heating Load Group Based On Demand Response

Demand response is an indispensable part of the intelligent distribution network framework.It plays a very important role in optimizing the allocation of supply and demand resources.It also can reduce the peak-valley difference of the system.At present,the domestic government vigorously promotes the use of electric heating to achieve low-carbon energy consumption,which makes the electric heating load increase dramatically.In addition,as an adjustable load,electric heating load has Flexible scheduling mode and great potential for adjustment.Therefore,this paper takes the electric heating load as the object to study it’s participation in the optimal dispatching of the power system demand response.The main research contents are as follows:Firstly,the basic framework of the distributed electric heating load participating in the optimal dispatching problem based on the demand-side response is constructed.The working mechanism of electric heating equipment is studied,and the room thermal dynamic model and the user’s thermal comfort model are established;then the response ability of electric heating load is analyzed according to the working characteristics of electric heating load.The main factors that affect the load response capability of electric heating are introduced;in addition,the electric heating load aggregation technology is introduced,which establishes the foundation for this paper to study the cluster optimization scheduling problem of electric heating load.Secondly,in order to solve the problems of complexity and inoperability when the power grid dispatches multiple types of electric heating loads,an optimal dispatching strategy for electric heating load groups considering the differences in users’ behavior is proposed.According to the factors of influencing users’ demand response behavior,users are integrated into multiple electric heating load aggregates,and thermal comfort design and controllable capacity are calculated for each group.Then,the load aggregator is used as an intermediary between the power grid and users.Taking into account the imbalance of power supply and power flow problems,an optimal dispatching model for electric heating load groups with the goal of minimizing load fluctuations is established.And,the effectiveness and feasibility of the proposed strategy is verified through the analysis of a numerical example.Finally,considering the user response behavior difference,a two-tier optimal scheduling model for electric heating load groups is established,which considers reputation and conditional value-at-risk theory.The creditworthiness of load aggregators is evaluated based on the quantified value of user default electricity,and corresponding market-level compensation rules have been formulated,which not only can effectively reduce the cost of power grid dispatching,but also can weaken the impact of users’ default.Based on the conditional Value-at-Risk(CVa R)theory,the equilibrium relationship between the investment profit and investment risk of the load aggregator is analyzed.With the goal of maximizing the profit of the load aggregator and minimizing the risk,the load aggregator demand response resource planning scheme under different risk coefficients is studied.And the simulation of a numerical example verifies that the model can effectively avoid the risk of user default to the power grid and load aggregators.