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山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 89-94.doi: 10.6040/j.issn.1672-3961.0.2017.208

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基于分布式储能系统的风储滚动优化调度方法

王飞1,徐健2,李伟3,汪新浩4*,施啸寒4   

  1. 1. 国网山东省电力公司, 山东 济南 250001;2. 国网山东省电力公司检修公司, 山东 济南 250118;3. 国网山东省电力公司经济技术研究院, 山东 济南 250000;4.电网智能化调度与控制教育部重点实验室(山东大学), 山东 济南 250061
  • 收稿日期:2017-04-25 出版日期:2017-12-20 发布日期:2017-04-25
  • 通讯作者: 汪新浩(1993— ),男,山东济宁人,硕士研究生,主要研究方向为电池储能系统设计及其在电力系统中的应用. ;E-mail: wang-xh93@sina.com E-mail:wf6102@163.com
  • 作者简介:王飞(1982— ),男,山东济南人,高级工程师,主要研究方向为电网规划和新能源发电技术. E-mail: wf6102@163.com
  • 基金资助:
    国网山东省电力公司科技资助项目(52061016007)

Rolling optimal dispatch method of wind power based on distributed energy storage system

WANG Fei1, XU Jian2, LI Wei3, WANG Xinhao4*, SHI Xiaohan4   

  1. 1. State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China;
    2. Maintenance Company, State Grid Shandong Electric Power Company, Jinan 250118, Shandong, China;
    3. Economic Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, Shandong, China;
    4. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Received:2017-04-25 Online:2017-12-20 Published:2017-04-25

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摘要： 根据风电预测精度随时间尺度的减小逐级提高的固有特性,建立了多时间尺度多目标协调调度的滚动优化模型。依据风电并网标准与分布式电池储能系统(distributed battery energy storage system, DBESS)能快速修正风电波动的低频分量,以系统经济性最优和弃风电量最小为目标函数建立优化模型,采用加入4个风电场(wind farm, WF)和2个电池储能系统(battery energy storage systems, BESSs)的IEEE-39节点标准系统进行算例分析,遗传算法(genetic algorithm, GA)对目标函数进行迭代求解。结果证明,本研究提出的基于DBESS的风储有功滚动优化调度模型,可以有效降低系统运行经济性以及提高电网对风电的接纳能力。

关键词: 滚动优化, 遗传算法, 风电, 风储联合发电系统, 协调调度, 多目标优化

Abstract: According to the inherent characteristics of wind power that forecased accuracy increasing with the time-scale decreasing, a multi-time scale and multi-objective coordinated rolling optimal dispatch model was established. Based on the wind power grid-connected standards and combined with distributed battery energy storage system(DBESS), the low-frequency fluctuation of wind power could be damped in time. An optimized model was established with objectives of minimizing the economy of the system and the curtailed wind power. The IEEE 39-bus system with four wind farms and two battery energy storage systems(BESSs)was added for utilizing to verify the optimization dispatch model proposed, and it was solved by genetic algorithm(GA)iteratively. The results showed that the proposed wind-storage rolling optimal dispatch model based on DBESS could reduce the cost of the system operation and increase the amount of wind power griding effectively.

Key words: genetic algorithm(GA), wind power, rolling optimal, multi-objective optimal, wind-storage combined power system, coordinative dispatch

中图分类号: 

  • TM734
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