Hierarchical Dispatch Optimization For Multi-energy Park Considering Electricity Evaluation

This topic is one of the main contents of the science and technology project “Research on Key Technologies of Planning and Control of Wide Area Distributed Power Based on Big Data Analysis”,hosted by Shanxi Electric Power Company.In recent years,extensive energy utilization model in recent centuries has made energy shortage and environmental pressure increasingly severe.The development of multi-energy coupling energy system has become an important strategic development direction in the field of energy at home and abroad as an important way to improve the efficiency of primary energy utilization and enhance the stability of power system.As an important part of the integrated energy system,multi-energy parks have built many demonstration projects and put into operation in China.Under this background,for the interactive,flexible and controllable integrated energy parks,formulating reasonable optimal dispatching strategies to strengthen the two-way energy interaction between energy network and users has the high value of engineering application in improving the operation status of the parks and enhancing the stability of the energy system.In this paper,a multi-time-scale hierarchical optimal scheduling strategy considering multi-stakeholders in integrated energy system is proposed.The main research contents are as follows:Firstly,this paper analyses the current research status of optimal dispatch of integrated energy system,clarifies the idea of optimal control of user load based on demand-side response,and points out the necessity of considering user-side energy demand and eliminating real-time energy deviation under the background of the ubiquitous power internet of things,and the feasibility of power transfer strategy in real-time scheduling model under the market environment is also discussed.Secondly,based on the common basic architecture and operation mode of demonstration projects for the multi-energy parks,the basic architecture of multienergy park and the model of energy consumption equipment in the park are established.Then,the park is classified by the dominant load energy consumption behavior,and the energy consumption habits of different types of parks are analyzed.For electrical and gas coupling interconnected power network,puts forward a hybrid power flow solution method when CHP unit works under the following the electric load mode.This paper analyzes the impact of different types of users' disorderly energy consumption on energy network load,network loss,air pressure and voltage under the scenario of modified IEEE 14-nodes distribution network system and 7-nodes gas pipeline network.The result shows that the operation status of the energy network is not only related to the energy consumption habits of the park,but also to the topological structure of the energy system.Thirdly,aiming at the interest demands of users and energy operators inside the park,a hierarchical non-cooperative game model is proposed to determine the energy use arrangement and price of the park in day-ahead dispatching.The user evaluation model for the user layer considers different types of user comfort and economy,and the operator model for the operator layer considers operator's income.the non-cooperative game model based on the improved PSO algorithm is established according to the demands of both parties.The effectiveness of the proposed model is verified by numerical simulation,the result shows that the energy consumption arrangement and energy consumption price after dispatching can effectively meet the demands of both parties,it can fully mobilize the enthusiasm of users in DR while ensuring operators' profits,improve the operation state of the energy system and optimize the load curve of the energy network.Finally,aiming at the uncertainties of energy production and energy consumption in future energy systems,a forecast bias model for multi-energy parks is established,then the paper discusses the countermeasures for park operators to share risks in market environment.Based on the coping strategy to power deviation,a real-time scheduling model which the objective function is total cost of operators is established.The example shows that the real-time scheduling model can effectively eliminate the deviation of real-time energy consumption.As an important means of risk sharing in the market environment,the power mutual insurance behavior can effectively reduce the real-time scheduling cost of operators.This subject has passed the acceptance of science and technology projects of Shanxi Electric Power Company,which can provide a good application basis for multi-energy coupling demonstration project.