电力系统自动化2026，Vol.50Issue(5)：44-53,10.DOI:10.7500/AEPS20250610002
面向产业集聚区流程化工序能源需求的综合能源优化配置
Optimal Configuration of Integrated Energy for Energy Demand in Process of Service Industry Agglomeration Zones
摘要
Abstract
Industry agglomeration zones encompass the entire industrial production process.Their complex industrial chain structures and diversified energy demands offer significant potential for optimal configuration and carbon emission reduction.To this end,an integrated energy optimal configuration method is proposed for the energy demand in the process of service industry agglomeration zones.First,based on the differentiated energy utilization demands in various production stages,the energy supply of the industry agglomeration zones is divided into multiple integrated energy systems that serve distinct industrial processes.Then,taking the system operation economy and carbon emissions throughout the entire industrial production process as optimization objectives,a bi-level optimal configuration model of integrated energy is constructed.Finally,taking a semiconductor industry agglomeration zone as an example and considering the correlation constraints in the processes of energy demands,an improved non-dominated sorting genetic algorithm(NSGA-Ⅱ)by hybrid adaptive crossover-mutation is used to optimize the equipment capacity configuration based on flexible energy utilization in the industrial production.Simulation results demonstrate that the proposed configuration method achieves optimal configuration of multiple integrated energy systems while balancing the operation economy and carbon emission reduction requirements of industry agglomeration zones.关键词
产业集聚区/综合能源系统/碳减排/关联性约束/优化配置/混合自适应交叉变异Key words
industry agglomeration zone/integrated energy system/carbon emission reduction/correlation constraints/optimal configuration/hybrid adaptive crossover-mutation引用本文复制引用
梁睿,陈逸翔,丁宣升,陈曙光,王飞,张潇..面向产业集聚区流程化工序能源需求的综合能源优化配置[J].电力系统自动化,2026,50(5):44-53,10.基金项目
江苏省碳达峰碳中和科技创新专项资金资助项目(BE2022609) （BE2022609）
徐州市"双碳"专项基础研究项目(KC23076). This work is supported by Jiangsu Provincial Science and Technology Innovation Special Fund for Carbon Emission Peak and Carbon Neutrality(No.BE2022609)and Xuzhou Special Fund for"Dual Carbon"Basic Research Project(No.KC23076). （KC23076）
