中国电力 ›› 2022, Vol. 55 ›› Issue (1): 37-45.DOI: 10.11930/j.issn.1004-9649.202107048

• 含大规模储能的高比例新能源电力系统协调规划与优化调度技术专栏 • 上一篇    下一篇

计及直流调节能力的含风电电力系统储能优化配置

彭穗1, 龚贤夫1, 刘新苗2, 卢洵2, 吴云芸3, 薛熙臻3, 周博3, 艾小猛3   

  1. 1. 广东电网有限责任公司电网规划研究中心, 广东 广州 510080;
    2. 广东电网有限责任公司, 广东 广州 510000;
    3. 强磁场工程与新技术国家重点实验室(华中科技大学), 湖北 武汉 430074
  • 收稿日期:2021-07-12 修回日期:2021-11-19 出版日期:2022-01-28 发布日期:2022-01-20
  • 作者简介:彭穗(1992-),男,硕士,工程师,从事电网规划、新能源消纳等研究,E-mail:pengsui@gd.csg.cn;吴云芸(1997-),女,通信作者,硕士研究生,从事储能规划、数据中心能量管理等研究,E-mail:wuyunyun_scu@163.com;艾小猛(1986-),男,博士,副教授,从事新能源特性分析与建模、新能源并网优化规划与运行、储能规划与优化、负荷侧管理、综合能源市场等研究,E-mail:xiaomengai@hust.edu.cn
  • 基金资助:
    南方电网有限公司科技项目(037700 KK52190011;GDKJXM20198273)。

Optimized Energy Storage Configuration of Wind Power Integrated Power System Considering DC Regulation Capacity

PENG Sui1, GONG Xianfu1, LIU Xinmiao2, LU Xun2, WU Yunyun3, XUE Xizhen3, ZHOU Bo3, AI Xiaomeng3   

  1. 1. Grid Planning and Research Center, Guangdong Power Grid Company, Guangzhou 510080, China;
    2. Guangdong Power Grid Company, Guangzhou 510000, China;
    3. State Key Laboratory of Advanced Electromagnetic Engineering and Technology(Huazhong University of Science and Technology), Wuhan 430074, China
  • Received:2021-07-12 Revised:2021-11-19 Online:2022-01-28 Published:2022-01-20
  • Supported by:
    This work is supported by the Science and Technology Project of China Southern Power Grid (No.037700 KK52190011; No.GDKJXM20198273)

摘要: 随着风电装机容量的不断增加,电力系统对储能等灵活性调节资源的需求增加。而交直流混联电网是实现大规模风电并网、输送和消纳的基础。针对上述背景,提出一种计及直流调节能力的含风电电力系统储能优化配置方法,在促进新能源消纳的同时减少储能投资成本。首先,考虑到风电功率和负荷具有随机性、不确定性等特点,通过场景分析法来处理风电和负荷的随机性。其次,构建输送功率可调节的直流线路模型,并考虑储能配置和运行约束、交流电网约束等约束,建立计及直流调节能力的储能配置多场景随机优化模型。最后,以修改的IEEE14节点系统为例,进行了多个储能配置方案的对比分析,结果表明,所提方法能够提升系统对风电的消纳能力,减少对储能的需求,保证含风电电力系统运行的经济性。

关键词: 储能配置, 随机优化, 电压源型换流器, 二阶锥规划, 交直流混联电网

Abstract: With the increasing installed capacity of wind power, stronger demand for flexible adjustment resources such as energy storage occurs in the power system, and the AC/DC hybrid power grid is the basis for the grid connection, transmission, and accommodation of large-scale wind power. Given the above background, an energy storage configuration scheme is proposed for the wind power integrated system considering the DC regulation capacity to promote the accommodation of renewable energy and reduce the investment cost of energy storage. First, a scenario analysis method is adopted to deal with the randomness of wind power and loads. Then, a DC line model with adjustable transmission power is constructed. Furthermore, combined with the constraints including energy storage configuration, energy storage operation, and AC power grid, a configuration model of energy storage based on multi-scenario stochastic optimization is built considering DC regulation capacity to minimize the total daily operating cost of the power system. Finally, a comparative analysis of multiple energy storage configuration schemes is simulated in the modified IEEE 14-bus system. The results show that the proposed scheme can promote the accommodation of wind power while lessening the demand for energy storage. As a result, the economic operation of the wind power integrated system is guaranteed.

Key words: energy storage configuration, stochastic optimization, voltage source converter, second-order cone programming, AC/DC hybrid power grid