Research On Day-ahead Scheduling Optimization And Price Strategy Of Regional Integrated Energy System Based On Improved Particle Swarm Optimization

With the development of human society and economy,the greenhouse effect,environmental pollution are becoming more and more serious.It is urgent to seek a cleaner,environmentally friendly and sustainable energy utilization method.In this context,the Intergrated Energy System,which realizes the multi-energy complementarity and coordination and optimization of new energy and traditional energy,has become an effective way to improve the current status of the energy environment.IES brings together a variety of energy production,conversion and storage equipment units.There are complex coupling relationships between various energy sources and equipment.How to arrange equipment operation scheduling plans economically and efficiently is an indispensable research topic in the process of Intergrated Energy System promotion and application.This thesis proposes an optimization method for day-ahead economic dispatch of an integrated energy system considering electricity price-based demand response methods.On the one hand,the equipment operation plan is optimized by establishing the equipment operating characteristic model and the system’s day-ahead economic dispatch optimization model.On the other hand,by formulating time-of-use electricity prices or real-time electricity price strategies,users are guided to actively conduct load response behaviors.So as to realize the scheduling optimization of Intergrated Energy System in terms of energy supply and demand.The main research work of this thesis is as follows:(1)In the face of the multi-energy complementary characteristics of Intergrated Energy System,a typical electric-heating integrated energy system is taken as an example.The operation characteristics of conversion and storage equipment are analyzed,and the mathematical model of equipment quasi-steady state operation is established,by adopting the general energy bus modeling idea,and considering its energy flow situation and the coupling relationship between the equipment and the energy production.This lays a theoretical model foundation for Intergrated Energy System day-ahead economic dispatch optimization.(2)Based on the Intergrated Energy System equipment quasi-steady-state operation model and the multi-energy flow supply and demand balance relationship,the day-ahead optimization model for Intergrated Energy System is built with the goal of the best economy,comprehensively considering the fuel consumption in the actual operation of Intergrated Energy System,and the power interaction with the upper-level grid,and the equipment operation constraints.In addition,in order to solve the Intergrated Energy System economic dispatch optimization problem more accurately and efficiently,based on the more widely used particle swarm optimization in the intelligent algorithm,the standard particle swarm optimization is compared from three aspects: the iterative method of algorithm parameters,the fusion of simulated annealing algorithm,and the processing method of constraint conditions.The algorithm is improved to promote the adaptability of particle swarm optimization in solving high-dimensional nonlinear optimization problems.(3)Price-based Demand Response is used as a load regulation method,combined with the day-ahead economic dispatch optimization of Intergrated Energy System,to enhance the dispatch potential from the load side.For the purpose of reducing load fluctuations,two electricity price schemes are designed,namely Time of use and Hourly spot price,taking into account the interests of users and the Intergrated Energy System.Evaluation indicators such as load peak,load peak-valley difference,user electricity cost,and user load transfer rate measure the pros and cons of the electricity price plan.(4)The electricity price optimization scheme and the day-ahead dispatch optimization situation of a typical park Intergrated Energy System under different electricity price schemes are calculated through an example simulation,and the influence of the electricity price strategy on the operation of IES equipment and the economic benefits of users and the system is compared and analyzed.The feasibility of the proposed Intergrated Energy System economic dispatch optimization method provides a reference for the formulation of electricity prices and operating strategies in the actual operation.