中国电力 ›› 2019, Vol. 52 ›› Issue (12): 132-139.DOI: 10.11930/j.issn.1004-9649.201808120

• 技术经济 • 上一篇    下一篇

多区域新能源接纳能力评估模型研究及应用

元博1, 徐志成1, 刘俊1, 宗瑾2   

  1. 1. 国网能源研究院有限公司 北京 102209;
    2. 国网冀北电力有限公司 北京 100054
  • 收稿日期:2018-08-22 修回日期:2019-01-20 发布日期:2019-12-05
  • 作者简介:元博(1987-),男,博士,高级工程师,从事能源电力规划、新能源发电、储能相关研究,E-mail:yuanbo@sgeri.sgcc.com.cn;徐志成(1988-),男,博士,工程师,从事能源电力规划、新能源发电、储能相关研究,E-mail:xu-zhicheng2008@163.com
  • 基金资助:
    国家重点基础研究发展计划资助项目(2016YFB0900100)。

Research and Application of Multi-Area New Energy Integration Capability Evaluation Model

YUAN Bo1, XU Zhicheng1, LIU Jun1, ZONG Jin2   

  1. 1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;
    2. State Grid Jibei Electric Power Co., Ltd., Beijing 100054, China
  • Received:2018-08-22 Revised:2019-01-20 Published:2019-12-05
  • Supported by:
    This work is supported by the National Key Basic Research Program of China (No.2016YFB0900100).

摘要: 在传统调峰平衡和生产模拟分析方法基础上,提出一种基于混合整数优化的多区域新能源接纳能力评估模型,该模型将各区域可接纳的新能源装机规模作为决策变量,综合考虑新能源出力特性、各类型发电机组特性、输电断面、供热、机组组合等一系列运行约束的情况下,实现运行模拟和各区域可承载新能源装机规模的联合优化,可有效评估一定限电比例要求下可接纳的新能源装机规模。基于所提模型对中国“十三五”新能源接纳能力进行了评估,得到了基准情景、火电灵活性改造放缓情景和高电力流情景下全国各区域新能源接纳能力,并给出了促进新能源消纳的相关建议。

关键词: 电力规划, 新能源, 接纳能力, 混合整数优化, 运行模拟

Abstract: Inspired by traditional methods of peak load balancing and production simulation, this paper proposed a multi-region new energy integration capability evaluation model based on mixed integer optimization, in which the new energy integration capability in each region is considered as a decision variable. Considering various operation constraints such as new energy outputs characteristics, various types of generator characteristics, transmission section, district heating, and unit combination, the proposed model can effectively evaluate the maximum installation capacity of new energy under the requirements of certain power rationing ratios. Based on the proposed model, the new energy integration capability of China in 2020 was evaluated. The basic scenarios, the slowing thermal power flexibility transformation scenarios, and the high power flow scenarios, were investigated and the relevant suggestions for promoting new energy consumption were given.

Key words: power planning, new energy, integration capability, mixed integer optimization, production simulation

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