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基于多场景多重不确定性的含混氢天然气的综合能源系统运行优化

熊阳阳 于艾清 王育飞 薛花

储能科学与技术2024,Vol.13Issue(6):1888-1899,12.
储能科学与技术2024,Vol.13Issue(6):1888-1899,12.DOI:10.19799/j.cnki.2095-4239.2023.0958

基于多场景多重不确定性的含混氢天然气的综合能源系统运行优化

Optimization of integrated energy system operation containing hydrogen-compressed natural gas based on multiple scenarios and uncertainties

熊阳阳 1于艾清 1王育飞 1薛花1

作者信息

  • 1. 上海电力大学电气工程学院,上海 200090
  • 折叠

摘要

Abstract

Rational utilization of hydrogen energy can enhance the flexibility of optimizing integrated energy systems and effectively mitigate the impacts of source and load uncertainty on system operations.Employing hydrogen-compressed natural gas(HCNG)as fuel and incorporating it into cogeneration combined heat and power systems can significantly enhance economic efficiency and hydrogen energy utilization.This paper proposes an optimization framework for the operation of integrated energy systems incorporating HCNG,considering multiple scenarios and uncertainties.The approach begins by establishing an integrated energy system topology that utilizes HCNG as fuel.It then addresses the uncertainties of sources,loads,and scenario probabilities through a three-stage robust optimization model aimed at minimizing system operating costs.The main and subproblems are decomposed using the Column and Constraint Generation(C&CG)algorithm.The Karush-Kuhn-Tucker(KKT)conditions and the Big M method are applied to transform these into a single-layer optimization problem.Comparative analysis of system operation results and robust models demonstrates that HCNG can optimize system operations and reduce costs effectively.The proposed model adeptly handles the discrepancies between actual and predicted scenario probabilities,thus preventing extreme outcomes during system optimization.

关键词

含混氢天然气综合能源系统/鲁棒优化模型/多阶段优化/多场景

Key words

integrated energy system containing hydrogen compressed natural gas/robust optimization model/multi stage optimization/multi scenario

分类

能源科技

引用本文复制引用

熊阳阳,于艾清,王育飞,薛花..基于多场景多重不确定性的含混氢天然气的综合能源系统运行优化[J].储能科学与技术,2024,13(6):1888-1899,12.

基金项目

上海市自然科学基金(23ZR1425000),上海市科技创新行动计划项目(22010501400). (23ZR1425000)

储能科学与技术

OA北大核心CSTPCD

2095-4239

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