| 引用本文: | 朱彦名,徐潇源,严 正,陆建宇.面向电力物联网的含可再生能源配电网运行展望[J].电力系统保护与控制,2022,50(2):176-187.[点击复制] |
| ZHU Yanming,XU Xiaoyuan,YAN Zheng,LU Jianyu.Prospect of renewable energy integrated distribution network operation in the power internet of things[J].Power System Protection and Control,2022,50(2):176-187[点击复制] |
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| 摘要: |
| 目前，电网缺乏对分布式能源及其所接入低压配电系统的有效量测，难以分析可再生能源大规模接入给配电网运行带来的显著不确定性。电力物联网技术可突破传统量测方式的瓶颈，应用于含可再生能源配电网的多级协调运行及可再生能源广域消纳。面向电力物联网的建设，阐述了可再生能源的状态感知、数据采集与处理过程。然后，利用物联网感知信息，从用户侧能量管理、分布式能源集群控制、配电网多时间尺度优化运行、综合能源系统运行等方面，构建了基于电力物联网平台的含可再生能源配电网运行方式框架。最后，对电力物联网在可再生能源系统中的预期应用效益进行了分析。 |
| 关键词: 电力物联网 可再生能源 配电网优化运行 大数据 数据驱动 |
| DOI：DOI: 10.19783/j.cnki.pspc.210317 |
| 投稿时间：2021-03-25修订日期：2021-05-11 |
| 基金项目:国家自然科学基金项目资助(52077136) |
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| Prospect of renewable energy integrated distribution network operation in the power internet of things |
| ZHU Yanming,XU Xiaoyuan,YAN Zheng,LU Jianyu |
| (1. Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University), Ministry of Education,
Shanghai 200240, China; 2. East China Branch of State Grid Corporation of China, Shanghai 200120, China) |
| Abstract: |
| Currently, the power grid lacks effective measurement of distributed energy and its connected low-voltage distribution system, making it difficult to analyze the significant uncertainty brought by the large-scale integration of renewable energy in distribution network operation. The power internet of things technologies break through the bottlenecks of traditional measurement approaches. They are applied to the multi-stage coordinated operation of a renewable energy integrated distribution network and wide-area renewable energy accommodation. In the construction of the power internet of things, the procedure of renewable energy state perception, data collection and processing is stated. Then, with the perception information of the internet of things, the operation mode structure of the renewable energy integrated distribution network based on the power internet of things platform is established. It is established from the aspects of user side energy management, distributed energy clustered control, multi-time-scale distribution network optimal operation and integrated energy system operation. Finally, the expected profits of the power internet of things application in renewable energy integrated power systems are analyzed.
This work is supported by the National Natural Science Foundation of China (No. 52077136). |
| Key words: power internet of things renewable energy distribution system optimal operation big data data-driven |
