中国电力 ›› 2021, Vol. 54 ›› Issue (8): 144-153.DOI: 10.11930/j.issn.1004-9649.202004040

• 新能源 • 上一篇    下一篇

考虑源荷协调的含储热光热电站和风电系统的日前-日内调度策略

刘新元1, 程雪婷1, 薄利明1, 张家瑞2, 郑惠萍1, 郝捷1   

  1. 1. 国网山西省电力公司电力科学研究院,山西 太原 030001;
    2. 东北电力大学 电气工程学院,吉林 吉林 132012
  • 收稿日期:2020-04-08 修回日期:2020-06-19 发布日期:2021-08-05
  • 作者简介:刘新元(1986-),男,硕士,高级工程师,从事电力系统运行分析、新能源联网发电关键技术研究,E-mail:liuxinyuan1208@163.com
  • 基金资助:
    国网山西省电力公司电力科学研究院科技项目(适应特高压交直流混联电网的新能源协同控制策略研究,52053018000N)

Day-Ahead and Intra-day Scheduling Strategy of Concentrated Solar Power Station with Thermal Energy Storage and Wind Farm Considering Coordination Between Generation and Load

LIU Xinyuan1, CHENG Xueting1, BO Liming1, ZHANG Jiarui2, ZHENG Huiping1, HAO Jie1   

  1. 1. State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China;
    2. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
  • Received:2020-04-08 Revised:2020-06-19 Published:2021-08-05
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Shanxi Electric Power Research Institute (Research on New Energy Cooperative Control Strategy Suitable for UHV AC/DC Hybrid Grid, No.52053018000N)

摘要: 为提高电力系统风电消纳能力,结合源荷两侧的可调节资源,提出含储热光热电站和风电系统的日前-日内调度策略。首先,根据含储热光热电站能量时移特性以及居民用电负荷响应时间长的特点,结合价格型需求响应,以系统运行成本以及日前弃风量最小为目标,构建日前调度模型;其次,根据考虑含储热光热电站的灵活调节能力以及高载能负荷响应时间短的特点,结合日前调度计划与日内风电预测,以系统日内调节成本与日内弃风量最小为目标,构建日内调度模型。算例结果表明:本文所提调度策略能够充分利用现有源荷两侧可调节资源及其特点,在促进系统风电消纳的同时,降低了系统成本。

关键词: 风电消纳, 含储热光热电站, 价格型需求响应, 高载能负荷, 日前-日内调度策略

Abstract: At the moment, the problem of wind curtailment in the Northwest is still serious. In this context, to improve the wind power accommodation of a system, this paper combines the adjustable resources on both sides of generation and load in the Northwest and proposes a day-ahead and intra-day scheduling strategy of the concentrated solar power (CSP) station with thermal energy storage (TES) and a wind farm considering coordination between generation and load. Firstly, considering the energy shifting of the CSP stations and the long response time of residential load, a day-ahead scheduling model has been constructed with price-based demand response (PDR) and the aim of minimizing the operation cost and the wind curtailment in day-ahead scale. Then, given the flexible adjustment ability of the CSP stations and the short response time of intensive energy loads, this paper has built an intra-day scheduling model for the minimal adjustment cost and the wind curtailment in intra-day scale according to the day-ahead scheduling plan and the intra-day wind power forecast. The simulation results show that the proposed strategy can promote wind power accommodation while reducing system cost by making full use of the adjustable resources on both sides of generation and load and their characteristics.

Key words: wind power accommodation, CSP station with TES, PDR, intensive energy loads, day-ahead and intra-day scheduling strategy