| 引用本文: | 朱西平,江强,刘明航,罗惠文,龙文涛,黄磊.计及源-荷不确定性的综合能源系统两阶段优化调度[J].电力自动化设备,2023,43(8):9-16,32 |
| ZHU Xiping,JIANG Qiang,LIU Minghang,LUO Huiwen,LONG Wentao,HUANG Lei.Two-stage optimal scheduling of integrated energy system considering source-load uncertainty[J].Electric Power Automation Equipment,2023,43(8):9-16,32 |
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| 摘要: |
| “双碳”背景下，为实现清洁能源稳定消纳，降低能源机组碳排放，提高综合能源系统运行经济性，提出一种低碳综合能源系统两阶段优化调度策略。日前调度考虑综合需求响应平抑供需差异波动风险，基于条件风险价值理论优化供能方案，保障系统运行稳定性；日内供能通过构建低碳综合能源系统模型，引入碳捕集设备、储碳装置与电转气协同运行，进一步消纳清洁能源的同时，提升系统的低碳性和经济性。基于此，构建以综合成本和碳排放量最小为低碳经济运行目标的模型，利用max-min模糊算法得到折中最优解，通过设置不同场景，对比验证了所提方案的有效性。 |
| 关键词: 综合能源系统 两阶段优化 综合需求响应 碳捕集设备 低碳经济 |
| DOI：10.16081/j.epae.202212014 |
| 分类号:TM73;TK01 |
| 基金项目:四川省科技计划项目(2022YFQ0102) |
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| Two-stage optimal scheduling of integrated energy system considering source-load uncertainty |
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ZHU Xiping, JIANG Qiang, LIU Minghang, LUO Huiwen, LONG Wentao, HUANG Lei
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School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China
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| Abstract: |
| Under the background of “dual carbon”,a two-stage optimal scheduling strategy for low-carbon integrated energy system is proposed to achieve stable consumption of clean energy, reduce carbon emission from energy units and improve the operation economy of integrated energy system. The day-ahead scheduling considers the integrated demand response to stabilize the fluctuation risk of supply and demand differences. And it optimizes the energy supply scheme based on the conditional value-at-risk theory to ensure the stability of system operation. By building the low-carbon integrated energy system model, the intra-day energy supply introduces carbon capture equipment and carbon storage device to operate collaboratively with power to gas process. It will further absorb clean energy while improving the low-carbon and economy of system. Based on this, the model with the minimum comprehensive cost and carbon emission as the low-carbon economic operation objective is constructed. And then, a compromise optimal solution is obtained by using the max-min fuzzy algorithm. Finally, the effectiveness of the proposed scheme is verified by setting and comparing different scenarios. |
| Key words: integrated energy system two-stage optimization integrated demand response carbon capture equipment low-carbon economy |
