| 引用本文: | 张鹏飞,王顺超,张瑞卿,何肇,方晓松,张宁.基于半正定松弛与高斯随机化的电制燃料设施联合煤电机组优化经济调度方法[J].电力自动化设备,2023,43(7): |
| ZHANG Pengfei,WANG Shunchao,ZHANG Ruiqing,HE Zhao,FANG Xiaosong,ZHANG Ning.Optimal economic dispatching approach for E-fuel facility combined with coal-fired power unit based on SDR and Gaussian randomization[J].Electric Power Automation Equipment,2023,43(7): |
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| 摘要: |
| 给出一种电制燃料设施与煤电机组联合运行的方案，可在产生电力、甲醇等重要二次能源的同时，提高发电系统灵活性。为了对联合机组进行合理调度，实现提升灵活性的同时确保经济性最优，提出了电制燃料设施联合煤电机组参与调频服务的优化经济调度方法。在充分考虑调频服务市场规则的情况下，构建了电制燃料设施与煤电机组联合参与单次调频的优化经济调度模型，相比已有研究该模型更加准确；针对含max函数的NP-hard非线性模型求解困难的问题，提出了采用分类转换并利用半正定松弛对原问题进行松弛，通过高斯随机化求解的方案。算例分析表明所提方法具有准确、高效的优势，为灵活能源设施与煤电机组联合运行的优化经济调度提供了参考。 |
| 关键词: 电力系统 灵活性 电制燃料设施 调频服务 半正定松弛 高斯随机化 优化经济调度 |
| DOI：10.16081/j.epae.202211012 |
| 分类号:TM73 |
| 基金项目:国家重点研发计划项目(2019YFE0125900)；中国博士后科学基金资助项目(2022M710599) |
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| Optimal economic dispatching approach for E-fuel facility combined with coal-fired power unit based on SDR and Gaussian randomization |
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ZHANG Pengfei1,2, WANG Shunchao1, ZHANG Ruiqing1, HE Zhao1, FANG Xiaosong1, ZHANG Ning2
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1.Electric Power Planning & Engineering Institute, Beijing 100120, China;2.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
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| Abstract: |
| An operation scheme of E-fuel facility combined with coal-fired power unit is proposed, which can not only generate important secondary energy, such as electricity, methanol, etc.,but also improve the flexibility of power generation system. To dispatch the combined unit rationally, improve the flexibility while ensuring the optimal economy, an optimal economic dispatching approach for E-fuel facility combined with coal-fired power unit to participate in frequency regulation service is proposed. Under the condition of fully considering the frequency regulation service market rules, an optimal economic dispatching model for E-fuel facility combined with coal-fired power unit to participate in single frequency regulation is constructed, which is more precise than the existing researches. Aiming at the difficulty in solving NP-hard nonlinear model with max function, the classification and transformation as well as semidefinite relaxation(SDR) are used to relax the original problem, and then the scheme is solved through Gaussian randomization. Case study analysis shows that the proposed approach has the advantages of accuracy and efficiency, and it provides a reference for the optimal economic dispatching of the operation of flexible energy facility combined with coal-fired power unit. |
| Key words: electric power systems flexibility E-fuel facility frequency regulation service semidefinite relaxation Gaussian randomization optimal economic dispatching |
