现代电力2024，Vol.41Issue(6)：1090-1099,10.DOI:10.19725/j.cnki.1007-2322.2022.0351
基于改进麻雀搜索算法的电-热-气-氢综合能源系统优化
Optimization of Electric-heat-gas-hydrogen Integrated Energy System Based on Improved Sparrow Search Algorithm
摘要
Abstract
The expansion of clean energy grid-connection,driven by the goals of carbon peaking and carbon neutrality,poses great challenges for the energy system.To address the is-sues of carbon emission and new energy consumption,in the paper we propose an optimization model of an integrated elec-tricity-heat-gas-hydrogen energy system with demand response taken into account.The carbon capture system and a multi-stage power-to-gas operation framework are introduced into the system,exploring the low carbon potential of hydrogen energy resource in the process of power-to-gas.The utilization of hy-drogen fuel cells and hydrogen storage in model enhances the flexibility of resource distribution.Considering demand re-sponse,the collaborative optimization of the source and load can be achieved by incorporating demand response.关键词
综合能源系统/多阶段电转气/氢能源/需求响应/Tent混沌映射/麻雀搜索算法Key words
integrated energy system/multistage power to gas/hydrogen energy resource/demand response/Tent chaotic map/sparrow search algorithm分类
信息技术与安全科学引用本文复制引用
李泽霜,唐忠,程卓,刘欣雨..基于改进麻雀搜索算法的电-热-气-氢综合能源系统优化[J].现代电力,2024,41(6):1090-1099,10.基金项目
国家自然科学基金资助项目(61672337).Project Supported by National Natural Science Foundation of China(61672337). （61672337）
