Multi-objective bilevel programming optimization of integrated energy system considering energy structure and capacity
XU Jian
LIU Songyang
CHAI Chao
JIA Shaokun
KONG Weikang
Abstract：With the continuous development and application of integrated energy systems,there are more and more types of energy equipment involved,but there is still relatively little research on how to design energy structures.In view of this,the article constructs a dual layer multi-objective programming optimization model for regional integrated energy systems that covers energy structure selection and capacity design.The upper level establishes a daily operation optimization model with the dual objectives of daily operating costs and comprehensive energy efficiency,and uses the NSGA-II algorithm to obtain basic operating data;By using random probability density function and K-means clustering algorithm,establish an energy structure selection model for regional integrated energy system and determine the energy structure for regional integrated energy system planning.A multi-objective capacity optimization model for regional comprehensive energy system is established at the lower level with the dual objectives of annualized total cost and comprehensive energy efficiency,and the NSGA-II algorithm is used to solve the optimization model.Finally,taking a certain park in China as an example,the effectiveness of the model is verified.
Keywords：combined energy systemenergy structurecapacity planningmulti objectivedouble optimization
Publication Date：2025-11-28
Online Publishing Date：2025-12-18(First online date of this platform, not the publication date of the document)
Pages：8( 81-88 )