• 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 ›› 2019, Vol. 40 ›› Issue (4): 98-109.doi: 10.3969/j.issn.1000-7229.2019.04.012

• 智能电网 • 上一篇    下一篇

直购电背景下利用储能配合旋转备用的风电并网容量优化

邓强1,詹红霞1,杨孝华2,梅哲1,张豪1,朱金龙1   

  1. 1.西华大学电气与电子信息学院,成都市 610039;2.国网重庆云阳供电公司,重庆市 404500
  • 出版日期:2019-04-01
  • 作者简介:邓强(1993),男,硕士研究生,主要研究方向为新能源并网的电力系统调度; 詹红霞(1971),女,硕士,副教授,通信作者,主要研究方向为电力系统保护与控制以及新能源并网; 杨孝华(1971),男,高级工程师,主要从事电力系统稳定与控制工作; 梅哲(1995),男,硕士研究生,主要研究方向为电动汽车与分布式能源入网的配电网优化运行; 张豪(1994),男,硕士研究生,主要研究方向为配电网故障定位; 朱金龙(1993),男,硕士研究生,主要研究方向为配电网电压稳定性。
  • 基金资助:
    国家自然科学基金项目(51877181);四川省教育厅项目(18ZB0566)

Optimization of Wind Power Integration Capacity Considering Spinning Reserve with Energy Storage System in the Context of Direct Power Purchase#br#

DENG Qiang1, ZHAN Hongxia1, YANG Xiaohua2, MEI Zhe1, ZHANG Hao1,  ZHU Jinlong1   

  1. 1.School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China;2.Yunyang Power Supply Company of Chongqing Electric Power Company, Chongqing 404500, China
  • Online:2019-04-01
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51877181) and Scientific Research Fund of Sichuan Provincial Education Department (No.18ZB0566).

摘要: 为了解决大用户直购电与风电消纳之间的矛盾,文章提出利用大用户以直购电的形式消纳风电。首先,以上下旋转备用来应对风电的不确定性,引入储能系统弥补较高备用需求导致的上下旋转备用空间的不足。其次,在此基础上以大用户直购电背景下风电最优并网容量为目标建立了以发电企业为领导者,风电场为跟随者的主从博弈模型。最后,运用改进粒子群算法在含风电场的IEEE 30节点系统上进行仿真分析,算例验证了所提方法的有效性。

关键词: 大用户直购电, 旋转备用, 储能系统, 风电不确定性, 风电消纳, 主从博弈

Abstract: In order to solve the contradiction between direct power purchase and wind power consumption, large consumers may contribute to wind power accommodation by direct power purchasing as proposed in this paper, upper and lower spinning reserves are used to deal with the uncertainty of wind power, and the energy storage system is introduced to make up for the shortage of spinning reserve caused by higher demand. A Stackelberg Game model is established aiming at the optimal capacity of wind power integration in the context of direct power purchase by large consumers. The model takes power generation companies as leaders and wind farms as followers. Finally, the improved particle swarm optimization algorithm is applied in simulation analysis on the IEEE 30-node system with wind farm. Case study shows that the proposed method is valid.

Key words: direct power purchase by large consumers, spinning reserve, energy storage system, wind power uncertainty, wind power accommodation, Stackelberg game

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