湖南电力 ›› 2024, Vol. 44 ›› Issue (1): 59-66.doi: 10.3969/j.issn.1008-0198.2024.01.009

• 新技术及应用 • 上一篇    下一篇

面向新能源消纳的新型电力系统优化运行策略

刘硕, 马兆兴, 刘金鑫, 钱宝珊, 王瑞华   

  1. 青岛理工大学信息与控制工程学院,山东 青岛 266520
  • 收稿日期:2023-09-25 修回日期:2023-11-14 出版日期:2024-02-25 发布日期:2024-03-11
  • 通信作者: 马兆兴(1982),男,博士,硕士生导师,研究方向为电力系统分析、运行,综合能源系统规划。
  • 作者简介:刘硕(2000),男,硕士研究生在读,研究发向为新型电力系统下的多层级协调调度策略。
    刘金鑫(1999),男,硕士研究生在读,研究方向为新型电力系统下的多元用户负荷预测技术。
    钱宝珊(1997),女,硕士研究生在读,研究方向为新型电力系统源-网-荷-储的协调优化与控制。
  • 基金资助:
    国家自然科学基金项目(62203248);山东省自然科学基金项目(ZR2020ME194);国网电力科学研究院有限公司智能电网保护和运行控制国家重点实验室项目(SGNR0000KJJ2302137)

Optimal Operation Strategies of New Power System Aimed at Renewable Energy System Consumption

LIU Shuo, MA Zhaoxing, LIU Jinxin, QIAN Baoshan, WANG Ruihua   

  1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
  • Received:2023-09-25 Revised:2023-11-14 Online:2024-02-25 Published:2024-03-11

摘要: 通过传统发电机输出功率定义有功功率流动系数,对风电场-抽水蓄能站进行统一调度,由该系数与风电场输出功率比值来决定风电的功率消纳策略。以传统发电机输出功率波动最小作为目标函数,建立跟随电网负荷变化的抽水蓄能站发电优化调度模型,采用改进的非洲野狗算法对系统进行优化,并在算法中加入动态迭代步长,旨在算法前期加快迭代速度、在算法后期增强计算精度。仿真结果证实了所提优化运行策略在系统运行中的有效性与可行性。

关键词: 功率流动, 抽水蓄能站, 优化调度, 非洲野狗算法, 高斯变异算子

Abstract: By defining the active power flow coefficient based on the output power of traditional generators, the unified scheduling of wind farm-pumped storage stations is carried out. The power consumption strategy of wind power is determined by the ratio of this coefficient to the output power of the wind farm. A pumped storage station power generation optimization scheduling model is established with the objective function of minimizing the fluctuation of traditional generator output power. The system is optimized using the African wild dog algorithm with Gaussian mutation operator, and a dynamic iteration step is added to the algorithm to accelerate the iteration speed in the early stage and enhance the calculation accuracy in the later stage. By comparing simulation results, the effectiveness and feasibility of the optimization operation strategy proposed in the article in system operation have been confirmed.

Key words: power flow, pumped storage power station, optimization scheduling, African wild dog algorithm, Gaussian mutation operator

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