• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2021, Vol. 42 ›› Issue (9): 129-139.doi: 10.12204/j.issn.1000-7229.2021.09.014

• 智能电网 • 上一篇    下一篇

计及无功裕度的配电网两阶段无功优化调度策略

胡戎, 邱晓燕, 张志荣   

  1. 智能电网四川省重点实验室(四川大学),成都市 610065
  • 收稿日期:2020-11-27 出版日期:2021-09-01 发布日期:2021-09-02
  • 通讯作者: 邱晓燕
  • 作者简介:胡戎(1997),女,硕士研究生,主要研究方向为配电网优化运行|张志荣(1996),男,硕士研究生,主要研究方向为交直流配电网运行与优化。
  • 基金资助:
    四川省科技厅重点研发项目(21ZDYF3753);成都市重点研发项目(2019-YF05-02107-SN)

Two-Stage Reactive Power Optimization for Distribution Network Considering Reactive Power Margin

HU Rong, QIU Xiaoyan, ZHANG Zhirong   

  1. Intelligent Electric Power Grid Key Laboratory of Sichuan Province( Sichuan University), Chengdu 610065, China
  • Received:2020-11-27 Online:2021-09-01 Published:2021-09-02
  • Contact: QIU Xiaoyan
  • Supported by:
    Key Research and Development Project of Science & Technology Department of Sichuan Province(21ZDYF3753);Key Research and Development Project of Chengdu(2019-YF05-02107-SN)

摘要:

为了解决高比例可再生分布式电源(renewable distributed generation,RDG)接入配电网后各类可调资源的协同调度和时空耦合问题,提出了计及动态无功裕度的两阶段配电网无功优化调度策略。利用Copula理论建立考虑风光不确定性和相关性的预测模型,第一阶段综合考虑电压偏差、运行成本和动态无功裕度3个指标建立日前多目标优化模型,第二阶段在短时间尺度上进一步利用连续调节装置应对风光波动性,在充分协调配电网中可调资源的同时实现快慢时间常数各异的无功调节装置差异化管理。最后在改进的IEEE 33节点系统上进行仿真,结果表明所提协同优化策略能够提高系统的安全经济效益,验证了风光相关性对系统的影响。

关键词: 有功优化, 无功优化, 可再生分布式电源(RDG), 多目标优化, Copula相关性, 动态无功裕度

Abstract:

To solve the coordinated dispatch and spatiotemporal coupling of various adjustable resources after high-proportion renewable distributed generation (RDG) is connected to the distribution network, a two-stage reactive power optimization for distribution network considering reactive power margin is proposed. The Copula theory is used to establish a prediction model which considers the uncertainty and correlation of wind power and photovoltaic output. In the first stage, a day-ahead multi-objective optimization model is established by considering voltage deviation, operation cost and dynamic reactive power margin. In the second stage, the continuous regulating device is used to respond the fluctuations of photovoltaic and wind power, which realizes the differentiated management of reactive power regulating devices with different fast and slow time constants while fully coordinating the adjustable resources in the distribution network in a short time scale. Finally, the simulation example carried out on the improved IEEE 33-node system shows that the collaborative optimization strategy can improve the safety and economic benefits of the system, and verify the influence of the wind-photovoltaic correlativity on the system.

Key words: optimization of active power, optimization of reactive power, renewable distributed generation (RDG), multi-objective optimization, Copula correlativity, reactive power margin

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