中国电力 ›› 2025, Vol. 58 ›› Issue (6): 105-111.DOI: 10.11930/j.issn.1004-9649.202410087

• 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

考虑虚拟电厂的电力系统一致性经济调度方法

刘刚1(), 田志浩1(), 黄颖峰2, 摆世彬1, 张越3,4(), 李桐1, 丁振桓5   

  1. 1. 国网宁夏电力有限公司调度控制中心,宁夏 银川 750001
    2. 福建省亿力集团有限公司,福建 福州 350003
    3. 南瑞集团有限公司(国网电力科学研究院有限公司),江苏 南京 211106
    4. 北京科东电力控制系统有限责任公司,北京 100192
    5. 安徽大学 人工智能学院,安徽 合肥 230001
  • 收稿日期:2024-10-28 发布日期:2025-06-30 出版日期:2025-06-28
  • 作者简介:
    刘刚(1988),男,硕士,高级工程师,从事电力调度运行控制研究,E-mail:648082444@qq.com.cn
    田志浩(1988),男,硕士,高级工程师,从事电力调度运行控制研究,E-mail:nxbwddxy@163.com
    张越(1989),男,通信作者,硕士,高级工程师,从事人工智能在电力系统的应用研究,E-mail:zhangyue3655@163.com
  • 基金资助:
    宁夏自然科学基金资助项目(2023AAC03830)。

Consistency Economic Dispatch Method for Power Systems Considering Virtual Power Plants

LIU Gang1(), TIAN Zhihao1(), HUANG Yingfeng2, BAI Shibin1, ZHANG Yue3,4(), LI Tong1, DING Zhenhuan5   

  1. 1. State Grid Ningxia Electric Power Co., Ltd., Power Dispatch and Control Center, Yinchuan 750001, China
    2. Fujian Yili Group Corporation Co., Ltd., Fuzhou 350003, China
    3. NARI Group Corporation Co., Ltd., (State Grid Electric Power Research Institute Co., Ltd.), Nanjing 211106, China
    4. Beijing KeDong Electric Power Control System Co., Ltd., Beijing 100192, China
    5. School of Artificial Intelligence, Anhui University, Hefei 230001, China
  • Received:2024-10-28 Online:2025-06-30 Published:2025-06-28
  • Supported by:
    This work is supported by Ningxia Natural Science Foundation of China (No.2023AAC03830).

摘要:

分布式算法在解决大规模系统的控制问题方面显示出巨大的潜力。将领导者-跟随者增量成本一致性算法(lead-follower incremental cost consensus algorithms,ICC)扩展为无领导者的分布式调度优化算法。所提出的无领导增量成本一致性(leadless incremental cost consensus algorithms,LICC)算法能够连续跟踪系统的负荷差,并在没有领导者的情况下调度发电机。此外,建立了虚拟电厂的分布式经济调度模型,并将其与一致性算法相结合。在Matlab/Simulink和RT-LAB中搭建了一个基于IEEE 14节点系统的动态模型,以验证算法的可行性。该系统包含发电机与虚拟电厂,并配有频率控制和电压调节功能。在实时电力系统仿真模拟器上演示了LICC算法的有效性。

关键词: 分布式控制, 经济调度, 一致性算法, 实时仿真, 虚拟电厂

Abstract:

Distributed algorithms have shown great potential in solving control problems for large-scale systems. This paper extends the leader-follower incremental cost consensus algorithms (ICC) to a leaderless distributed scheduling optimization algorithm. The proposed leaderless incremental cost consensus (LICC) algorithm can continuously track the system's load difference and schedule generators without a leader. Furthermore, this paper establishes a distributed economic dispatch model for virtual power plants and combines it with consensus algorithms. A dynamic model based on the IEEE 14 node system is implemented in Matlab/Simulink and RT-LAB to verify the feasibility of the algorithm. The system includes generators and virtual power plants, equipped with frequency control and voltage regulation functions. The effectiveness of the proposed LICC algorithm is demonstrated on a real-time power system simulation emulator.

Key words: distributed control, economic dispatch, consensus algorithm, real-time simulation, virtual power plant


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