中国电力 ›› 2014, Vol. 47 ›› Issue (8): 72-78.DOI: 10.11930/j.issn.1004-9649.2014.8.72.6

• 电网 • 上一篇    下一篇

含高渗透率风电的电力系统备用影响及配置研究

高峰1, 马烁2, 张爽1, 许晓艳2, 顾雨嘉1   

  1. 1. 国网宁夏电力公司电力科学研究院,宁夏 银川 750001;
    2. 中国电力科学研究院,北京 100192
  • 收稿日期:2014-04-17 出版日期:2014-08-18 发布日期:2015-12-10
  • 作者简介:高峰(1982—),男,陕西榆林人,工程师,从事电力系统仿真与分析研究。E-mail: botong9999@126.com
  • 基金资助:
    国家科技支撑项目资助项目(2013BAA02B01)

Research and Determination of Reserve Requirements in Power System with Significant Wind Power Penetration

GAO Feng1, MA Shuo2, ZHANG Shuang1, XU Xiao-yan2, GU Yu-jia1   

  1. 1. Electric Power Research Institute of Ningxia, Yinchuan 750001, China;
    2. China Electric Power Research Institute, Beijing 100192, China
  • Received:2014-04-17 Online:2014-08-18 Published:2015-12-10
  • Supported by:
    This work is supported by The National High Technology Research and Development Program of China (2013BAA02B01)

摘要: 系统备用的确定是目前新能源发电优先调度及常规机组发电计划制定中的关键因素。传统的备用配置原则未考虑新能源发电的影响,无法满足系统运行可靠性要求,而当下较为保守的配置方法又过于粗略,挤压了新能源发电的消纳空间。通过分析大规模高渗透率风电接入对系统备用的影响,同时兼顾系统安全经济运行和新能源发电优先调度、充分消纳的双重要求,提出一种考虑风电功率预测及中国电网调度运行实际的系统调节备用、旋转备用影响分析及确定方法,并通过某省级电网实际运行数据验证了其有效性。

关键词: 风电, 调节备用, 旋转备用, 风功率预测, 新能源优先调度

Abstract: The determination of system reserve is a key factor for optimal dispatching of renewable energy and generation planning. The principle of conventional reservation arrangement ignores the impacts of high penetration of renewable energy, which may cause a high risk in system operating. Meanwhile, the current method is too rough that might reduce the acceptable capacity of renewable energy. So, by analyzing the influence of the high penetrated wind power on system reserve and considering the requirements of safe and economic operation and optimal dispatching of the renewable energy, a new method, which is functional in wind power prediction, analysis and determination of system reserve and spinning reserve, is proposed. The feasibility of proposed method is validated by using the real operation data.

Key words: wind power, regulating reserve, spinning reserve, wind power forecasting, optimal dispatching of renewable energy

中图分类号: