• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2023, Vol. 44 ›› Issue (7): 98-110.doi: 10.12204/j.issn.1000-7229.2023.07.011

• 新能源发电 • 上一篇    下一篇

考虑源荷功率矩不确定性的新型互联电力系统省内-省间分布鲁棒协调优化调度

杨洪明1,2,3(), 尹邦哲1,2,3(), 孟科1,2,3(), 禹海峰4(), 周年光4(), 徐志强4()   

  1. 1.长沙理工大学电气与信息工程学院,长沙市 410114
    2.“基于分布式光储的能源互联网运行与规划”教育部国际合作联合实验室,长沙市 410114
    3.湖南省“电动交通与智能配网”工程技术研究中心,长沙市 410114
    4.国网湖南省电力有限公司经济技术研究院,长沙市 410029
  • 收稿日期:2022-11-02 出版日期:2023-07-01 发布日期:2023-06-25
  • 通讯作者: 杨洪明(1972),女,博士,教授,研究方向为电力市场、电力系统优化运行,E-mail: yhm5218@163.com
  • 作者简介:尹邦哲(1998),男,硕士研究生,研究方向为电力系统优化调度,E-mail: 2625254773@qq.com;
    孟科(1982),男,教授,研究方向为电力系统优化调度,E-mail: youthsoul@qq.com;
    禹海峰(1987),男,高级工程师,研究方向为电力系统运行与控制,E-mail: secret140403@163.com;
    周年光(1970),男,高级工程师,研究方向为电力系统运行与控制,E-mail: a820944200@163.com;
    徐志强(1975),男,教授级高级工程师,研究方向为电力系统运行与控制,E-mail: 13786213226@163.com
  • 基金资助:
    国家自然科学基金项目(71931003);国家自然科学基金项目(72061147004);国家自然科学基金项目(71871031);湖南省科技厅研究项目(2020GK1014);湖南省科技厅研究项目(2021WK2002);湖南省科技厅研究项目(2022WZ1004);湖南省科技厅研究项目(2022RC4025);湖南省研究生科研创新项目(QL20210202);湖南省教育厅研究项目(2021JGZD040);湖南省教育厅研究项目(HNJG-2021-0478);湖南省教育厅研究项目(21B0334);科技部“大数据驱动的能源互联网”国际科技合作基地资助(2017D01011)

Distributed Robust Optimal Scheduling of the New Interconnected Power System with the Inter-province and Intra-province Considering Moment Uncertainty of Source Load Power

YANG Hongming1,2,3(), YIN Bangzhe1,2,3(), MENG Ke1,2,3(), YU Haifeng4(), ZHOU Nianguang4(), XU Zhiqiang4()   

  1. 1. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
    2. International Joint Laboratory of Ministry of Education for Operation and Planning of Energy Internet Based on Distributed Photovoltaic-Storage Energy, Changsha 410114, China
    3. Hunan Provincial Engineering Research Center for Electric Transportation and Smart Distribution Network, Changsha 410114, China
    4. Economic and Technical Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha 410029, China
  • Received:2022-11-02 Online:2023-07-01 Published:2023-06-25
  • Supported by:
    National Natural Science Foundation of China(71931003);National Natural Science Foundation of China(72061147004);National Natural Science Foundation of China(71871031);Research Project of Hunan Provincial Department of Science and Technology(2020GK1014);Research Project of Hunan Provincial Department of Science and Technology(2021WK2002);Research Project of Hunan Provincial Department of Science and Technology(2022WZ1004);Research Project of Hunan Provincial Department of Science and Technology(2022RC4025);Hunan Province Postgraduate Research and Innovation Project(QL20210202);Research Project of Hunan Provincial Department of Education(2021JGZD040);Research Project of Hunan Provincial Department of Education(HNJG-2021-0478);Research Project of Hunan Provincial Department of Education(21B0334);Funded by the International Science and Technology Cooperation Base of "Big Data-driven Energy Internet" of the Ministry of Science and Technology(2017D01011)

摘要:

为推动我国高比例清洁能源接入和高比例跨区电力输送的新型互联电力系统建设,降低源荷不确定性对清洁能源跨区消纳和省内-省间电力平衡的影响,提出考虑源荷功率矩不确定性的新型互联电力系统优化调度方法。首先,设计了计划-市场双轨制下新型互联电力系统省内-省间双层优化调度模式。其次,采用矩不确定集合刻画风光发电和负荷功率的不确定性,并提出由此引起的系统弃风弃光分布鲁棒条件风险度量模型。最后,以省间和省内总购电成本最小为目标,建立新型互联电力系统省内-省间分布鲁棒协调优化调度模型,并通过对偶优化理论将该模型转化为易求解的半定规划问题。数值仿真结果表明,所提模型促进了西部地区清洁能源跨省跨区消纳,降低受端系统运行成本的同时,有效提高了系统应对源荷功率不确定性波动的能力。

关键词: 清洁能源消纳, 新型互联电力系统, 省间-省内协调, 计划-市场功率分配, 分布鲁棒优化

Abstract:

To promote the construction of a novel interconnected power system in China—one featuring a high proportion of clean energy access and significant trans-regional power transmission proportion—a new optimal dispatching method is proposed that considers the uncertainty of source load power moment. This approach aims to mitigate the impact of source load uncertainty on cross-regional clean energy consumption and intra-provincial power balance. First, a two-level optimal dispatching mode for an innovative interconnected power system between and within provinces was designed under the planning market dual-track system. Second, the uncertainties of wind and solar power generation and load power were characterized by the moment uncertainty set, and the resulting robust conditional risk measurement model of wind and light abandonment distributions was proposed. Finally, to minimize total power purchase cost between and within provinces, a novel distributed robust, coordinated optimal dispatching model for an interconnected power system was established, and the model was transformed into a semi-definite programming problem, more readily solvable by applying the dual optimization theory. Numerical simulation results show that the proposed model promotes the cross-provincial and cross-regional consumption of clean energy in the western region, reduces the operational cost of the receiving-end system, and effectively improves the ability of the system to handle uncertain fluctuations in the source-load power.

Key words: clean energy consumption, new interconnected power system, inter- and intra-province coordination, planning market power allocation, distributed robust optimization

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