考虑阶梯碳交易和最优建设时序的园区综合能源系统规划

江训谱; 吕施霖; 王健; 张莹颖; 包哲静; 于淼

江训谱,吕施霖,王健,张莹颖,包哲静,于淼.考虑阶梯碳交易和最优建设时序的园区综合能源系统规划[J].电测与仪表,2023,60(12):11-19.
Jiang Xunpu,Lv Shilin,Wang Jian,Zhang Yingyin,Bao Zhejing,Yu miao.Park-level Integrated Energy System Planning Considering Tiered Carbon Trading and Optimal Construction Timing Under Dual Carbon Goals[J].Electrical Measurement & Instrumentation,2023,60(12):11-19.

考虑阶梯碳交易和最优建设时序的园区综合能源系统规划

Park-level Integrated Energy System Planning Considering Tiered Carbon Trading and Optimal Construction Timing Under Dual Carbon Goals

DOI：10.19753/j.issn1001-1390.2023.12.002

中文关键词: 园区综合能源系统阶梯碳交易双碳约束最优建设时序

英文关键词:integrated energy system (IES), tiered carbon trading, dual carbon constraints, optimal construction timing

基金项目:浙江省电网公司科技项目（5211FW220001），国家自然科学基金联合基金资助项目（U22B2098）

作者中文名	作者英文名	单位
江训谱	Jiang Xunpu	浙江大学工程师学院
吕施霖	Lv Shilin	国网浙江省电力有限公司综合服务分公司
王健	Wang Jian	国网浙江省电力有限公司综合服务分公司
张莹颖	Zhang Yingyin	国网浙江省电力有限公司综合服务分公司
包哲静	Bao Zhejing	浙江大学电气工程学院
于淼	Yu miao	浙江大学电气工程学院

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中文摘要:

园区综合能源系统可以实现多种能源之间的多能互补、协同优化，对于节能、增效、降碳具有重要意义。本文针对含电、气、热多种能源类型的园区综合能源系统，提出一种考虑阶梯碳交易和最优建设时序的规划模型及求解方法。首先，构建阶梯碳交易成本计算模型，并加入碳达峰、碳中和的“双碳”约束以制约园区碳排放量；然后，以计及投资成本、运维成本、碳交易成本、残值费用的全寿命周期费用现值最小为优化目标；最后，通过混合整数规划进行模型算法求解，得到园区综合能源系统各设备的投建年份和容量配置方案。通过建立多个典型规划场景进行联合对比，验证了该规划模型在减少碳排放、降低系统成本等方面的有效性，并探讨了碳交易基准价格和投建次数对规划结果的影响。

英文摘要:

The integrated energy system (IES) in industrial parks can achieve multi-energy complementary and coordinated optimization among various energy sources, which is of great significance for energy conservation, efficiency enhancement and carbon emission reduction. In this paper, the planning model and solution approach is proposed, considering tiered carbon trading and optimal construction timing for an industrial park''s IES containing multiple energy types, including electricity, gas and heat. Firstly, the cost calculation model for a tiered carbon trading is developed, and the ''dual-carbon'' constraints of carbon peaking and carbon neutrality are incorporated to restrict the carbon emissions of the park. Then, the optimization objective is to minimize the net present value of the total life-cycle cost, including the investment costs, operation and maintenance costs, carbon trading costs, and residual value costs. Finally, the model is solved using a mixed-integer programming algorithm to determine the investment year and capacity configuration of each component in the park’s IES. To demonstrate the effectiveness of the planning model in reducing carbon emissions and decreasing system costs, a variety of typical scenarios are established for joint comparison. Additionally, the impacts of carbon trading benchmark prices and the investment frequencies on the planning results are explored.

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