| 引用本文: | 李德鑫,宗崇林,黄大为,等.大规模风电汇聚外送的区域送端电力系统两级优化调度[J].电力系统保护与控制,2021,49(11):35-44.[点击复制] |
| LI Dexin,ZONG Chonglin,HUANG Dawei,et al.Two-level optimal dispatching of regional sending-end power system for large-scale clustering wind power transmission[J].Power System Protection and Control,2021,49(11):35-44[点击复制] |
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| 摘要: |
| 大规模可再生能源集中接入和电力汇聚外送是我国送端电力系统的重要特征之一。针对这一特征，研究了由多个相对独立的子系统构成的含大规模可再生能源集中接入的区域送端电力系统的日前优化调度问题。基于目标级联方法构建了区域送端电力系统的两级优化调度模型，上级调度解决各独立子系统联络线有功功率的协调优化问题；而下级调度则为各子系统相对独立的日前发电计划子优化问题。在下级调度中，根据各子系统的特点，以运行成本最小和外送功率偏差最小为优化目标，综合考虑直流汇聚外送、转运等约束。通过算例分析，验证了方法的有效性。 |
| 关键词: 可再生能源消纳 特高压直流 目标级联分析 汇聚外送 |
| DOI：DOI: 10.19783/j.cnki.pspc.201092 |
| 投稿时间：2020-09-07修订日期：2021-02-03 |
| 基金项目:吉林省产业创新重大专项(2018C034-7)；国网公司科技项目资助(522300190009) |
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| Two-level optimal dispatching of regional sending-end power system for large-scale clustering wind power transmission |
| LI Dexin1,ZONG Chonglin2,HUANG Dawei2,WANG Jiarui1,ZHANG Haifeng1,LIU Chang1 |
| (1. State Grid Jilin Electric Power Co., Ltd. Electric Power Research Institute, Changchun 130021, China;
2. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,
Ministry of Education (Northeast Electric Power University), Jilin 132012, China) |
| Abstract: |
| Large-scale centralized integration of renewable energy and clustering power transmission is one of the important characteristics of sending-end power system in China. Given this feature, the day-ahead optimal scheduling problem of a regional sending-end power system with large-scale renewable energy integration is studied. The system is composed of several relatively independent subsystems. Based on the analytical target cascading method, a two-level optimal scheduling model for the regional sending-end power system is constructed. The upper-level scheduling solves the coordinated optimization problem for the tie-line active power flow of each independent subsystem; the lower-level scheduling is the relatively independent day-ahead optimal dispatching for each subsystem. From the characteristics of each subsystem, the minimum operating cost and the minimum deviation of the power transmission are the optimization objective functions, and the constraints of DC clustering transmission and wheeling are comprehensively considered in the lower-level scheduling. Through the analysis of an example, the effectiveness of the method is verified.
This work is supported by the Major Special Projects of Industrial Innovation in Jilin Province (No. 2018C034-7) and the Science and Technology Project of State Grid Corporation of China (No. 522300190009). |
| Key words: renewable energy consumption ultra-high voltage direct current (UHVDC) analytical target cascading clustering transmission |
