| 引用本文: | 程志平,穆玉皓,李忠文,等.综合能源系统全生命周期零碳规划及多时间尺度能量优化[J].电力系统保护与控制,2026,54(02):162-173. |
| CHENG Zhiping,MU Yuhao,LI Zhongwen,et al.Whole life-cycle zero-carbon planning and multi-time-scale energy optimization for integrated energy systems[J].Power System Protection and Control,2026,54(02):162-173 |
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| 摘要: |
| 针对可再生能源和负荷的不确定性制约综合能源系统(integrated energy systems, IES)实现零碳目标的问题，提出了一种考虑不确定性的IES零碳容量规划和多时间尺度优化方法。以新疆某含电、热、冷负荷需求的IES为例，首先，利用多元联合分布并结合蒙特卡洛方法模拟可再生能源和负荷的不确定性及相关性。然后，提出利用氢储能电解水过程产生的碱性溶液吸收二氧化碳的IES全生命周期零碳容量规划方法。最后，构建了IES规划周期内的零碳排放调度框架，以协调IES在长时间规划周期和短时间调度周期的零碳优化。并基于该框架设计随机-滚动两阶段优化调度模型，以应对可再生能源和负荷的不确定性，最小化IES综合运行成本。仿真分析结果验证了所提方法在促进可再生能源消纳、减少一次能源消耗、实现零碳排放和经济运行方面的有效性。 |
| 关键词: 综合能源系统 全生命周期 零碳排放 容量规划 优化调度 氢储能 |
| DOI：10.19783/j.cnki.pspc.250363 |
| 分类号: |
| 基金项目:国家自然科学基金面上项目资助(62273312)；河南省优秀青年科学基金项目资助(232300421094)；郑州大学博士后科学基金项目资助(22120016) |
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| Whole life-cycle zero-carbon planning and multi-time-scale energy optimization for integrated energy systems |
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CHENG Zhiping1, MU Yuhao1, LI Zhongwen1, LIU Xiaoyu2, YANG Xinzhi3, LI Wei4
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1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450000, China; 2. China Electric
Power Research Institute, Beijing 100192, China; 3. Three Gorges International Energy Investment Group
Co., Ltd., Beijing 101100, China; 4. China Three Gorges Corporation, Beijing 101100, China
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| Abstract: |
| To address the challenge that uncertainties in renewable energy sources and loads hinder the achievement of zero-carbon targets in integrated energy systems (IES), this paper proposes a zero-carbon capacity planning and multi-time-scale optimization method for IES considering uncertainties. Taking an IES in Xinjiang with electric, heating, and cooling load demands as the study case, a multivariate joint distribution combined with the Monte Carlo method is first employed to model the uncertainties and correlations of renewable energy sources and loads. Then, a whole life-cycle zero-carbon capacity planning method for IES is proposed, in which carbon dioxide is absorbed by alkaline solution generated during the electrolysis process of hydrogen energy storage. Finally, a zero-carbon emission dispatch framework over the IES planning horizon is constructed to coordinate zero-carbon optimization across long-term planning and short-term dispatch cycles. Based on this framework, a stochastic-rolling two-stage optimization dispatch model is designed to cope with uncertainties in renewable energy and load, aiming to minimize the overall operation cost of the IES. Simulation results verify the effectiveness of the proposed method in promoting renewable energy consumption, reducing primary energy usage, and achieving zero-carbon emissions with economic operation. |
| Key words: integrated energy system whole life-cycle zero-carbon emissions capacity planning optimal dispatch hydrogen energy storage |
