中国电力 ›› 2025, Vol. 58 ›› Issue (2): 103-110.DOI: 10.11930/j.issn.1004-9649.202409056

• 基于数据驱动的电力系统安全稳定分析与控制 • 上一篇    下一篇

考虑构网型储能支撑能力的微电网优化调度策略

闫志彬1(), 李立2(), 阳鹏3, 宋蕙慧3(), 车彬1, 靳盘龙1   

  1. 1. 国网宁夏电力有限公司,宁夏 银川 750001
    2. 哈尔滨工业大学 电气工程及自动化学院,黑龙江 哈尔滨 150000
    3. 哈尔滨工业大学(威海) 新能源学院,山东 威海 264200
  • 收稿日期:2024-09-12 出版日期:2025-02-28 发布日期:2025-02-25
  • 作者简介:闫志彬(1972—),男,高级工程师(教授级),从事电网发展、能源电力规划研究,E-mail:Yanzhibin1972@163.com
    李立(1999—),男,博士研究生,从事构网型储能控制和优化调度研究,E-mail:23B906021@stu.hit.edu.cn
    宋蕙慧(1983—),女,通信作者,博士,教授,从事配网/微电网控制、构网控制策略研究,E-mail:songhh@hitwh.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52477085);国家电网公司科技项目(1400-202435281A-1-1-ZN)。

Optimal Scheduling Strategy for Microgrid Considering the Support Capabilities of Grid Forming Energy Storage

Zhibin YAN1(), Li LI2(), Peng YANG3, Huihui SONG3(), bin CHE1, Panlong JIN1   

  1. 1. State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750001, China
    2. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150000, China
    3. School of New Energy, Harbin Institute of Technology (Weihai), Weihai 264200, China
  • Received:2024-09-12 Online:2025-02-28 Published:2025-02-25
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.52477085), Science and Technology Project of SGCC (No.1400-202435281A-1-1-ZN).

摘要:

为兼顾微电网的稳定性和运行效益,分析了构网型储能的惯量支撑特性和频率支撑能力。基于此,明确了微电网的优化目标,形成了功率平衡、设备运行、系统惯量、系统备用容量等约束,并结合Optimization Toolbox的非线性优化问题解算器,提出了考虑构网型储能支撑能力的优化调度策略。为测试所提策略的有效性,采用核密度估计法和Copula函数构建了风光出力联合概率分布函数,基于K-means聚类形成新能源典型场景。在典型场景下进行分析,结果表明:所提方法能够发挥构网型储能支撑能力,有效提升新能源消纳水平。

关键词: 微电网, 构网型储能, 优化调度, 典型场景, 支撑特性

Abstract:

In order to coordinate the stability and operation efficiency of the microgrid, the inertial support characteristics and frequency support capability of the grid-forming storage are analyzed. Based on this, the optimization objectives of the microgrid are clarified, and the constraints such as power balance, equipment operation, system inertia, and reserve capacity are formed. Combined with the nonlinear optimization problem solver of the Optimization Toolbox, an optimization scheduling strategy considering the support capability of the grid-forming energy storage proposed. In order to test the effectiveness of the proposed strategy, the joint probability distribution function of wind and solar power generation is constructed by using the kernel density estimation method the Copula function, and the typical scenarios of new energy are formed based on the K-means clustering. The analysis is carried out under the typical scenarios, and results show that the proposed method can give full play to the support capability of the grid-forming energy storage and effectively improve the level of new energy consumption.

Key words: microgrid, grid forming energy storage, optimal scheduling, typical scenario, supporting characteristics