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CCS耦合P2G的含氢综合能源系统多目标随机优化

樊帅志 张靖 龙传煜 何宇 敖炫 郑之轩 刘影

电子科技2025,Vol.38Issue(10):52-61,10.
电子科技2025,Vol.38Issue(10):52-61,10.DOI:10.16180/j.cnki.issn1007-7820.2025.10.007

CCS耦合P2G的含氢综合能源系统多目标随机优化

Multi-Objective Stochastic Optimization of CCS Coupled P2G Hydrogen-Containing Integrated Energy System

樊帅志 1张靖 1龙传煜 1何宇 1敖炫 1郑之轩 2刘影3

作者信息

  • 1. 贵州大学 电气工程学院,贵州 贵阳 550025
  • 2. 贵州电网有限责任公司 遵义供电局,贵州 遵义 563000
  • 3. 贵州电网有限责任公司 电网规划研究中心,贵州 贵阳 550002
  • 折叠

摘要

Abstract

Improving energy utilization efficiency and increasing the proportion of renewable energy is an impor-tant path to achieve the goal of"double carbon".However,the integrated energy system with CHP(Combined Heat and Power)as the core unit has the constraint of thermoelectric coupling,which makes it difficult to integrate high proportion of renewable energy.To solve this problem,an integrated energy system optimal scheduling model of CCS(Carbon Capture System)coupled with two-stage P2G(Power-to-Gas),and the hydrogen generated by P2G opera-tion is utilized in multiple ways.Considering the uncertainty of landscape,a multi-objective optimization method with the minimum cost and the lowest carbon emission is proposed to balance the economy and carbon emission of the integrated system.An example simulation is constructed and solved by gurobi solver.The simulation results show that the proposed scheduling method improves the wind and light consumption,reduces the carbon emission and the sys-tem cost,which verifies the effectiveness and superiority of the proposed model.

关键词

P2G/CCS/综合能源系统/热电耦合/风光不确定性/不确定性优化/多目标优化/多元氢利用

Key words

P2G/CCS/integrated energy system/thermoelectric coupling/landscape uncertainty/uncertainty op-timization/multi-objective optimization/multiple hydrogen utilization

分类

信息技术与安全科学

引用本文复制引用

樊帅志,张靖,龙传煜,何宇,敖炫,郑之轩,刘影..CCS耦合P2G的含氢综合能源系统多目标随机优化[J].电子科技,2025,38(10):52-61,10.

基金项目

黔科合支撑([2022]一般014)Science and Technology Foundation of Guizhou([2022]General014) ([2022]一般014)

电子科技

1007-7820

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