• 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 ›› 2018, Vol. 39 ›› Issue (8): 53-58.doi: 10.3969/j.issn.1000-7229.2018.08.007

• 调度与优化策略 • 上一篇    下一篇

基于场景时域概率的主动配电网全协调无功优化

张杭1,2,丁晓群2,陈光宇2,3,季日华1   

  1. 1.国网泰州供电公司,山东省泰州市 225300;2.河海大学能源与电气学院, 南京市 211100;3.南京工程学院电力学院,南京市 211167
  • 出版日期:2018-08-01
  • 作者简介:张杭(1991),男,硕士,主要从事电力系统运行与控制方面的研究工作; 丁晓群(1956),男,教授,博士生导师,主要从事变压器故障诊断、电力系统运行与控制等方面的研究工作; 陈光宇(1980),男,讲师,博士,主要从事变压器故障诊断、电力系统运行与控制等方面的研究工作; 季日华(1985),男,高级工程师,主要从事电力系统运行与控制等方面的研究工作。
  • 基金资助:
    江苏省配电网智能技术与装备协同创新中心开放基金资助项目(XTCX201713)

General Coordinated Reactive Power Optimization of Active Distribution Network on the Basis of Scenario Time Domain Probability

ZHANG Hang1,2, DING Xiaoqun2, CHEN Guangyu 2,3 , JI Rihua1   

  1. 1. State Grid Taizhou Power Supply Company, Taizhou 225300, Shandong Province, China;2. College of Energy and Electric Engineering, Hohai University, Nanjing 211100, China;3. School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
  • Online:2018-08-01
  • Supported by:
    This work is supported by the Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network (No.XTCX201713).

摘要: 针对主动配电网中风光荷储具有随机性和间歇性,无功全协调优化困难的问题,提出一种基于时域概率的场景分析法,采用CURE聚类法削减全场景数量,然后依次计算全场景的时域概率;提出一种计及源网荷储全协调互动的无功优化策略,通过求解网购电量最小为主要目标的有功优化模型得到集中式储能和可中断负荷的有功功率,以此建立主动配电网无功优化模型,并运用多目标粒子群算法求解,最后以某市一条10 kV配电线路为例验证本文方法的可行性和鲁棒性。

关键词: 时域概率, 全协调, CURE聚类法, 无功优化

Abstract:

In view of the randomness and controllability of wind power and energy storage, reactive power coordinated optimization is difficult. A scene analysis method based on time domain probability is proposed, using CURE clustering method to reduce the total scene number, and calculate the time domain probability of each scene at the same time. A coordinated reactive power optimization method which considering source, network, load, storage in active network is proposed. The active power optimization model based on the minimum power consumption of main online shopping is used to solve energy storage and interruptible load active power. On this basis, a coordinated reactive power optimization model is established. By using the multi-objective particle swarm algorithm, a 10 kV distribution line in a prefecture level city is finally taken as an example to verify the feasibility and robustness of the proposed method.

Key words: time domain probability, general coordination, CURE clustering method, optimal reactive power

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