Optimal Dispatch Strategy Of Microgrid And Multi-integrated Energy System Taking Into Account The Demand Response To Participate In The Power Market

The microgrid can establish a good buffer zone between the new energy source and the power grid.The microgrid is coordinated and controlled locally through distributed power sources,loads,energy storage devices,etc.On the other hand,compared to the traditional power generation side power source,the start-up is slow and the regulation rate is insufficient.,The microgrid is equipped with more flexible distributed power sources,which can realize rapid power adjustment,provide demand response services for the grid through the power market,and participate in grid dispatching.Taking into account the uncertainties of new energy generation power,load power and upper-level grid demand response in the micro-grid,a multi-time-scale dispatch strategy is established to efficiently and accurately optimize the dispatch of the micro-grid’s participation in the upper-level grid demand response.In addition,considering the participation of multiple energy forms,study the bidding strategy of multi-integrated energy systems participating in the power market,focusing on the energy interaction between multiple systems,and researching the multi-energy system participating in the power market bidding problem based on energy aggregators,In order to achieve the goal of maximizing the revenue of energy aggregators.In response to the above problems,this paper studies the optimal dispatch strategy of microgrids and multi-energy systems participating in the power market.The details are as follows:First,with the access of smart electrical equipment,fully tap the user-side demand response capabilities and participate in the optimal dispatch of the microgrid.According to the characteristics of power consumption on the user side,the load involved in the demand response on the user side is divided into three categories,namely interruptible load,transferable load,and dispatchable load;according to factors such as the microgrid’s forecast information and time-of-use electricity price,perform day-ahead optimal dispatch;Through the Cplex to solve the calculation example,the analysis of the results shows that the user side reduces the electricity cost by participating in the demand response of the microgrid,and the microgrid side improves the revenue of the microgrid by dispatching the demand response capability of the user side.Second,it studies the real-time optimal dispatching strategy of the microgrid’s participation in the upper-level power grid.In the day-ahead stage,the micro-grid conducts day-ahead optimal dispatch based on the results of the day-ahead forecast of wind power,photovoltaics,and load,distributed power consumption costs,user-side demand response costs,power market revenue and other factors.The dispatchable range of the grid reporting demand response;the intraday simulation stage trains the BP neural network model to prepare for the intraday dispatch by simulating the temporary demand of the upper grid;the intraday dispatch stage uses the BP neural network model based on the short-term forecast data in the day and the actual demand of the upper grid Carry out optimized scheduling.Finally,according to the simulation calculation,the model predictive control algorithm is compared with the method proposed in this paper,and the advantages and disadvantages of the scheduling strategy proposed in this paper are analyzed.Third,it studies the market bidding strategy of the electricity-heat integrated energy system based on energy aggregators.For the integrated energy system,establish models of electric energy unit and thermal energy unit respectively,consider the energy flow between the integrated energy system and the energy loss between adjacent systems,and consider the electricity price in the electricity market on the basis of meeting the electric energy and thermal energy load.Under the influence of factors,the flexible resources in the integrated energy system are collected and sold to the electricity market in order to maximize the revenue of the energy aggregator’s operating system.Finally,according to the analysis of the calculation example,the actual profit and cost of the integrated energy system operated by the energy aggregator under this scheduling strategy are obtained,and the advantages and disadvantages of the bidding strategy are analyzed based on the results.