中国电力 ›› 2023, Vol. 56 ›› Issue (9): 96-103,119.DOI: 10.11930/j.issn.1004-9649.202304092

• 配电网规划与优化运行 • 上一篇    下一篇

配电网用户侧多类型柔性资源调节能力评估方法

张俊成1, 黎敏1, 刘志文2, 谭靖1, 陶毅刚1, 罗天禄1   

  1. 1. 广西电网有限责任公司,广西 南宁 530023;
    2. 南方电网能源发展研究院有限责任公司,广东 广州 510670
  • 收稿日期:2023-04-23 修回日期:2023-08-03 出版日期:2023-09-28 发布日期:2023-09-20
  • 作者简介:张俊成(1983-),男,硕士,高级工程师,从事配网规划研究,E-mail:42063019@qq.com;黎敏(1982-),女,通信作者,硕士,高级工程师,从事配网规划研究,E-mail:49504072@qq.com;刘志文(1980-),男,博士,正高级工程师,从事电网规划研究,E-mail:28184183@qq.com
  • 基金资助:
    中国南方电网有限责任公司科技项目(046700KK52220003);国家自然科学基金资助项目(U22B20114)。

An Evaluation Method for Multi-type Flexible Resource Regulation Capability on the User Side of Distribution Networks

ZHANG Juncheng1, LI Min1, LIU Zhiwen2, TAN Jing1, TAO Yigang1, LUO Tianlu1   

  1. 1. Guangxi Power Grid Co., Ltd., Nanning 530023, China;
    2. Energy Development Research Institute, China Southern Power Grid, Guangzhou 510670, China
  • Received:2023-04-23 Revised:2023-08-03 Online:2023-09-28 Published:2023-09-20
  • Supported by:
    This work is supported by the Science and Technology Project of China Southern Power Grid (No.046700KK52220003) and the National Natural Science Foundation of China (No.U22B20114).

摘要: 随着新能源渗透率逐渐增加,配电网源荷匹配难度也随之增大,有必要充分挖掘用户侧柔性资源的调节潜力。为了对配电网用户侧多类型柔性资源调节能力开展评估,首先,提出配电网柔性资源集群调节能力评估框架,包含节点级和系统级2个层面;其次,基于条件风险价值模型建立温控负荷、电动汽车、分布式储能等用户侧柔性资源的响应模型,得到节点级柔性资源可调节能力指标;然后,分别以负荷峰谷差最小和新能源消纳量最大为目标函数,综合考虑配电网运行约束、柔性资源调节约束等,建立系统级柔性资源可调节能力评估模型;最后,在Portugal 54节点系统中进行了算例分析,结果表明所提方法可以有效量化评估配电网多类型柔性资源集群调节能力。

关键词: 用户侧柔性资源, 温控负荷, 电动汽车, 分布式储能, 调节能力评估

Abstract: As the penetration rate of new energy gradually increases, the matching difficulty of grid-source-load in the distribution network also increases. It is therefore necessary to fully tap the adjustment potential of user-side flexible resources. In order to evaluate the adjustment ability of multiple types of flexible resources on the user side of the distribution network, a framework for evaluating the adjustment ability of flexible resource clusters in the distribution network is proposed, which includes two levels: node level and system level. Secondly, based on the conditional value at risk model, a response model of user-side flexible resources inluding temperature controlled load, electric vehicles, and distributed energy storage is established, and the adjustable capacity indexes of node level flexible resources are obtained. And then, taking the minimum peak-valley load difference and the maximum new energy consumption as objective functions, and considering the constraints of distribution network operation and flexible resource regulation, a system level flexible resource adjustable capacity evaluation model is established. Finally, a case study is conducted in the Portugal 54-node system, and the results show that the proposed method can effectively quantify the adjustment ability of multi-type flexible resource clusters in the distribution network.

Key words: flexible resources on the user side, temperature controlled load, electric vehicles, distributed energy storage, regulatory ability assessment