| In recent years,under the dual pressure of the contradiction between the rapidly increasing energy demand and the declining fossil energy supply and demand,and the dual pressure of climate change,the pursuit of efficient use of fossil energy and renewable energy has become the direction of future energy development.As a result,the concept of "integrated energy system" is promoted and belongs to one of the energy Internet.The integrated energy system can greatly reduce the waste of resources through the coordinated planning and unified dispatch of multiple types of energy in the network,can realize the efficient use of energy production and consumption on the spot,and significantly improve the utilization rate of energy.Based on the above background,this article has carried out research on the optimization and dispatch of integrated energy system operation.The specific contents are as follows:Firstly,this paper analyzes the overall structure and characteristics of the integrated energy system.The operating characteristics of various micro-source equipment in the integrated energy system such as wind turbines,photovoltaics,micro gas turbines,energy storage and other equipment were analyzed,and corresponding mathematical models were established.And use the concept of energy hub to model the established integrated energy system.Secondly,through the integrated energy system model that has been established,the impact of the integrated energy system including electricity-to-gas equipment on wind and solar energy consumption is analyzed.This paper Establish a multi-objective optimization model that takes the operating cost of the integrated energy system and the minimum amount of abandoned wind and light as the objective function.Use the multi-objective fuzzy weighting method to transform the multi-objective problem into a single-objective problem,and traverse the weights to solve the Pareto solution set,then according to the grey target decision-making theory of entropy method,a dispatching plan that takes into account both operating economy and renewable energy utilization is selected.Finally,through simulation examples,under two different scenarios,it is analyzed that the integrated energy system with electricity-to-gas equipment can effectively reduce system operating costs and reduce the amount of wind and light abandonment.Finally,add electric vehicles and electric and heat demand side responses to the integrated energy system dispatch model.Based on the time-of-use electricity price,establish a demand-side response model of price-based electricity load,According to the thermal inertia of the heating network and the ambiguity of users’ perception of temperature,a thermal flexible load model is established.Establish an orderly charging and discharging model of electric vehicles according to the travel rules of the car owners.At the same time,the scenario analysis method is used to consider the uncertainty of new energy output,and the overall construction of a two-level stochastic optimal scheduling model with the introduction of multiple demand-side responses.The upper-level model uses the price type of time-of-use electricity price incentives to find the response,and takes the minimum net load volatility as the objective function to obtain the optimized electric load curve.The lower level takes into account the ambiguity of heating comfort and the role of electric vehicles,and the total cost of the system in the dispatch cycle is used as the goal to determine the output of each unit.The simulation example shows that the established integrated energy system dispatch model can effectively improve the system wind power and photovoltaic power.The power generation and consumption capacity reduces the operating cost of the system. |
