Research On Optimal Dispatching Strategy Of Active Distribution Network With The Participation Of Multi-stakeholders

With the increasingly serious problem of environmental pollution,renewable energy power generation technology has been developed rapidly.However,the intermittent and fluctuating renewable energy generation affects the operation and control of the distribution network.In order to deal with the negative impact of renewable energy access,the Active Distribution Network(ADN)with the ability of active control and load interaction came into being.With the development of ADN,distribution companies are no longer the only stakeholder in the ADN.The operators running distributed generations and users participating in demand response(DR)have also become the new stakeholders in the ADN.The optimization goals of different stakeholders are different and there are interconnections and constraints.This paper models and analyzes various types of distributed power sources and loads involved in demand response in ADN.On this basis,the benefits of various stakeholders in the ADN are comprehensively considered,and the optimal dispatching problem of the ADN with the participation of multi-stakeholders is studied.The work done is as follows:(1)Establish various source and load models in ADN,establish output models of distributed generations and energy storage devices such as photovoltaic,micro gas turbines,and fuel cells.At the same time,the virtual-microgrid(V-MG)is introduced,establish a model for load participation in demand response.(2)Establish the optimal dispatching model of ADN with the participation of multi-stakeholders,which includes the benefits function of distributed generation operator,distribution company and virtual-microgrid.Taking the maximization of the benefits of the stakeholders as the dispatching objective of the ADN,considering the interaction and constraints of the three stakeholders and the constraints of operation.(3)According to the habit of optimizing problems,rewriting the maximum value question to the equivalent minimum value problem.The traditional NSGA-Ⅱ optimization algorithm is improved by using information entropy,the model is solved to obtain the Pareto optimal solution set by using NSGAEN algorithm.In view of the problem that there are too many human factors in the selection method of optimal solution in the past,the game theory is introduced,the multi-objective decision-making model based on Nash equilibrium is used to make a compromise decision in Pareto optimal solution set.(4)Take the improved IEEE-33 node power distribution network as an example for analysis.Compare the four strategies with the highest revenues from distribution companies,the highest revenues from distributed power operators,the highest revenues from virtual microgrids,and the optimal dispatching strategy that comprehensively considers various stakeholders;compares the user’s electricity cost in four ways: whether the virtual microgrid participates in demand response,whether the distribution company implements real-time electricity price,and compares the load curve before and after the optimized dispatching.Finally,the algorithm is compared and analyzed.The results show that : The optimal dispatch which takes into account the benefits of different stakeholders can keep the benefits of all stakeholders at a high level,and effectively improve the enthusiasm and fairness of new stakeholders to actively participate in the optimal dispatching of grid.The optimized real-time electricity price can guide the user’s participation in DR.The introduction of real-time electricity prices and DR mechanisms can significantly reduce electricity costs.V-MG can transfer the power demand of users by using the integrated thermal /electric energy storage system to participate in the demand response on behalf of users’ load,and the effect of peak load reduction and valley filling is obvious.