A Capacity Configuration Planning Method For Regional Integrated Energy System Based On Bi-level Optimization

In the face of increasingly serious environmental pollution and energy shortage,it has become a consensus to improve energy efficiency,control the use of fossil fuels,and increase the proportion of clean energy.Regional Integrated Energy System(RIES)is an important measure to achieve green and low-carbon development,which can promote the conversion and interconnection of various energy such as electricity,gas,heat,and cold.On the premise of meeting the resource conditions and the user needs,it is the basis for the planning and design of RIES that reasonably selecting equipment and configurating equipment capacity.This paper focuses on the capacity configuration of RIES and carries out the following research.Firstly,the basic model of RIES planning is studied.By analyzing the flow direction of various types of energy in RIES,the basic physical architecture of it is established.By consulting the relevant literature at home and abroad,the operating characteristics,mathematical models and related parameters of the main energy supply equipment and energy storage equipment of the RIES are analyzed,and the basic principles of equipment selection is proposed,which lays the foundation for the subsequent research on the capacity optimization configuration of the RIES.Secondly,a bi-level capacity optimization configuration model of RIES is constructed.The upper-level model is based on the planning optimization of the system,in which the total investment cost,carbon dioxide emissions and energy utilization efficiency are taken as the objective functions.Also in the upper-level model,the equality constraints are mainly based on the balance of supply and demand of energy,and the inequality constraints mainly take the system operation constraints into account.The lower-level model is based on the operation optimization of equipment,with the daily operation cost of equipment as the objective function and the equipment characteristics constraints as the inequality constraints.Thirdly,a bi-level optimization algorithm for capacity optimization configuration of RIES is proposed.The upper-level planning optimization optimizes the capacity of various energy supply equipment and energy storage equipment through the NSGA-II algorithm to obtain the equipment capacity configuration combination;the lower-level operation optimization optimizes the equipment capacity configuration combination obtained by the upper-level through the MILP algorithm to obtain the typical daily operating conditions of the equipment.Iterations are repeated until the terminal conditions are met,and the optimization solutions set of equipment capacity configuration is output in the form of Pareto front.The Topsis method is selected to make decisions on the optimal solution set and determine the final solution that meets the actual needs best.Finally,on the basis of the above theoretical analysis and model construction,an industrial park is selected for example analysis.The proposed bi-level optimization algorithm is used to optimize it,and the Pareto front composed of optimization solutions is obtained.The Topsis method is used to make decisions on the optimal solution that best meets the needs for investors.The operation optimization analysis of the final plan is carried out to determine the optimal scheduling strategy on three typical days,and the scheduling of equipment in typical days of different seasons is analyzed and compared.