• 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): 32-41.doi: 10.3969/j.issn.1000-7229.2018.08.005

• 调度与优化策略 • 上一篇    下一篇

基于场景分析的有源配电系统有功无功协调鲁棒优化策略

黄河1,任佳依2,高松1,顾伟3,刘海波3   

  1. 1. 国网江苏省电力有限公司,南京市 210000;2. 国网江苏省电力有限公司经济技术研究院,南京市210008;3. 东南大学电气工程学院,南京市 210096
  • 出版日期:2018-08-01
  • 作者简介:黄河(1978),男,高级工程师,主要研究方向为电力系统发展规划; 任佳依(1992),女,硕士,主要研究方向为配电网运行与优化; 高松(1983),男,高级工程师,主要研究方向为配电网规划和项目开发; 顾伟(1981),男,教授,主要方向为分布式电源与微电网、主动配电网及电能质量; 刘海波(1992),男,硕士,主要研究方向为配电网运行优化。
  • 基金资助:
    国家重点研发计划项目(2016YFB0900400, 2016YFB09004004);国网江苏省电力公司项目(J2018003)

Coordinated Robust Optimization Strategy for Active and Reactive Power in Active Distribution System Based on Scenario Analysis

HUANG He1, REN Jiayi2 , GAO Song1, GU Wei3, LIU Haibo3   

  1. 1. State Grid Jiangsu Electric Power Company, Nanjing 210000, China;2. State Grid Jiangsu Electric Power Company Economic Research Institute, Nanjing 210008, China;3. School of Electrical Engineering, Southeast University, Nanjing 210096,China
  • Online:2018-08-01
  • Supported by:
    This work is supported by the National Research Program of China (No. 2016YFB0900400, 2016YFB09004004) and State Grid Jiangsu Electric Power Company Research Program (No.J2018003).

摘要: 考虑有源配电系统在运行经济性和安全性方面的要求,以及功率不确定性对系统运行的影响,提出基于场景分析的有源配电系统有功无功协调鲁棒优化策略。首先考虑系统中可调资源的有功无功功率极限,建立有源配电系统确定性有功无功协调优化模型,在此基础上,考虑功率预测误差对有源配电系统决策的影响,建立考虑不确定性的协调优化模型,采用场景分析方法生成典型场景集,从中寻找可能出现的最恶劣场景,并求得其对应的有功无功协调鲁棒优化调控策略。通过IEEE 14节点配电系统算例结果验证所提方法在应对功率波动不确定性方面的鲁棒性,以及有功无功协调优化在提升系统安全性方面的优势。

关键词: 有源配电系统, 有功无功协调优化, 功率不确定性, 场景分析, 鲁棒优化

Abstract:  

This article takes the requirement of economic and security operations of active distribution systems into consideration, and puts forward a coordinated robust optimization strategy for active and reactive power in active distribution system on the basis of scenario analysis. Firstly, a coordinated multi-period optimization model of active and reactive power based on second-order cone programming is established with the consideration of controllable resources power characteristics. Based on this model, this paper puts forward a robust coordinated optimization of active and reactive power with the consideration of reducing the negative effect of energy uncertainty on the system. By generating typical scenario sets, the robust strategy can obtain the robust control policy for the active distribution system in extreme scenarios. Numerical tests on the modified IEEE 14 distribution system show that the proposed strategy can make the system stable.

Key words: active distribution system, coordinated optimization of active and reactive power, energy uncertainty, scenario analysis, robust optimization

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