| 基于按需比例分配机制的风光火氢多时间尺度协同规划 |
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| 作者姓名： | 范宏 李婷 严嘉鑫 孙岩 张衡 贾庆山 |
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| 作者单位： | 上海电力大学 电气工程学院,上海电力大学 电气工程学院,上海电力大学 电气工程学院,上海电力大学 电气工程学院,电力传输与功率变换控制教育部重点实验室上海交通大学 上海,清华大学自动化系智能与网络化系统研究中心 北京 |
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| 基金项目： | 国家重点研发计划（2022YFA1004600），新能源电力系统若干关键技术的数学理论与算法，2022年至2027年 |
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| 摘 要： | 随着高比例新能源新型电力系统的灵活性需求增加,火电灵活性改造和多类型储能技术不断发展,如何制定灵活性资源市场运营机制实时平衡大规模新能源出力波动性和不确定性也是保障系统运行灵活性的关键。为此,提出一种基于按需比例分配机制的风光火氢协同规划方法,建立了以风光为主体电源,以火电和氢储能为辅助电源的多时间尺度协调规划模型。考虑氢储能系统平抑风光功率波动,制定了风/光场站和氢储能系统的三阶段协调运行策略,根据按需比例分配机制进行风/光场站间功率交易协调风电场和光伏电站的收益和支出,采用固定利润比例模型保证氢储能系统的收益稳定性。最后,以中国东北某省级电网为算例进行计算分析,验证所提模型与方法的有效性。关键词：按需比例分配；氢储能系统；风光火协同优化；多时间尺度协调规划；固定利润模型中图分类号：TM73
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| 关 键 词： | 按需比例分配 氢储能系统 风光火协同优化 多时间尺度协调规划 固定利润模型 |
| 收稿时间： | 2023/8/3 0:00:00 |
| 修稿时间： | 2023/12/5 0:00:00 |
Multi-timescale collaborative planning for wind- photovoltaic- thermal-hydrogen based on a proportional demand allocation mechanism |
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| Authors: | FAN Hong LI Ting YAN Jiaxin SUN Yan ZHANG Heng and JIA Qingshan |
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| Affiliation: | College of Electrical Engineering,Shanghai University of Electric Power,College of Electrical Engineering,Shanghai University of Electric Power,College of Electrical Engineering,Shanghai University of Electric Power,College of Electrical Engineering,Shanghai University of Electric Power,Key Laboratory of the Ministry of Education for Power Transmission and Power Conversion Control Shanghai Jiaotong University Shanghai,Center for Intelligent and Networked Systems, Department of Automation, Tsinghua University |
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| Abstract: | With the increasing demand for flexibility in new power systems with a high proportion of new energy sources, the flexible transformation of thermal power and the continuous development of multi-type energy storage technologies, how to develop a flexible resource market operation mechanism to balance the volatility and uncertainty of large-scale new energy output in real time is also the key to ensure the flexibility of system operation. Therefore, a method of wind-fire-hydrogen collaborative planning based on the on-demand proportional distribution mechanism is proposed, and a multi-time scale coordinated planning model is established with wind-landscape as the main power source and thermal power and hydrogen energy storage as the auxiliary power sources. Considering the hydrogen energy storage system to smooth out solar power fluctuations, a three-stage coordinated operation strategy of wind/optical field station and hydrogen energy storage system is developed, and power transactions between wind/optical field stations are car-ried out according to the on-demand proportional distribution mechanism to coordinate the income and expenditure of wind farms and photovoltaic power stations. A fixed profit proportional model is adopted to ensure the income stability of hydrogen energy storage system. Finally, a provincial power grid in northeast China is taken as an example to verify the effectiveness of the proposed model and method..Keywords: Proportional distribution on demand; hydrogen energy storage system; wind-photovoltaic-thermal collaborative optimization; coordinated planning on multiple time scales; fixed profit model |
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