Multi Source Coordinated Optimal Scheduling Strategy For Active Distribution Network Considering Demand Response

With the increasingly severe global energy crisis and the increasing gridconnected capacity of renewable clean energy,the prospects for renewable energy power generation are very broad.However,the renewable energy output has intermittent and volatility characteristics,and its large-scale grid-connected operation poses challenges for the grid for its large-scale grid-connected operation.In this paper,the flexible load and distributed power output in the active distribution network are modeled.On this basis,the coordination and demand side response of the distributed power supply are considered comprehensively,and the multi-source coordinated optimization scheduling problem of the active distribution network is carried out.Research,the work done is as follows:(1)The output characteristics of wind power generation unit,photovoltaic power generation unit,micro gas turbine unit and flexible load in active distribution network are analyzed,and the corresponding scheduling model is determined,and the overall idea of multi-source coordinated optimization scheduling for active distribution network is formed;(2)The coordinated optimization of the energy storage system,the controllable distributed generation unit,the flexible load,and the compensation and incentive mechanism for the flexible load are incorporated into the coordinated optimization scheduling strategy of the active distribution network to reduce the power generation cost and the energy storage equivalent.The operating cost and the source-to-win ratio are the sub-goals,and the optimal scheduling model of the active distribution network and the energy end-user cooperation and win-win is constructed.The constraints of the model include: system power flow equation constraint,flexible load capacity limitation constraint,controllable distributed power generation output constraint,energy storage charge and discharge power constraint,energy storage energy balance constraint,energy storage energy balance constraint,state of charge constraint,Constraint constraints such as feeder capacity constraints.An improved particle swarm optimization algorithm based on Logistic chaotic traversal technique is used to solve the model,and a deterministic scheduling strategy that does not take into account energy storage and flexible load,a deterministic scheduling strategy that only considers energy storage regulation,and a deterministic scheduling that only considers flexible load regulation.Comparison of strategy results;(3)Further improve and perfect the model in(2),change the previous scheduling mode with the distribution company as the main body of interest,and incorporate the DG operators and users as the new stakeholders of the active distribution network into the optimization scheduling strategy.A multi-stakeholder multi-source coordinated optimization scheduling model is proposed when the user's usage habits do not change;(4)The improved multi-stakeholder related equilibrium game is used to solve the model,and the optimal scheduling strategy with the optimal economic efficiency of the distribution network,the optimal scheduling strategy with the user economic optimization,and the DG operator economy The results of the optimal scheduling strategy with the optimality of the target are compared and analyzed..The analysis of the example shows that the coordinated optimization scheduling strategy based on demand side response is based on wind power,photo voltaic power generation,controllable distributed generation,and energy storage coordination optimization.At the same time,the flexible peak load characteristics of flexible load are fully utilized.In the case of ensuring that the user's habits are not changed,the game will enhance the enthusiasm and fairness of the new distribution partners of the active distribution network to participate in the coordination and optimization of the grid,and realize the cooperation and win-win between the distribution company,the DG operator and the users;It can enable the active distribution network to promote the consumption of renewable and clean energy power generation while balancing economic and social benefits.