综合智慧能源 ›› 2023, Vol. 45 ›› Issue (8): 80-89.doi: 10.3969/j.issn.2097-0706.2023.08.010

• 低碳技术经济 • 上一篇    

计及需求响应的风-火-储-碳捕集多源参与深度调峰市场的低碳经济调度

郁海彬(), 高亦凌, 陆增洁, 董帅, 鲁林, 任逸之   

  1. 国网上海市电力公司市北供电公司,上海 200040
  • 收稿日期:2023-04-14 修回日期:2023-04-26 出版日期:2023-08-25 发布日期:2023-08-22
  • 作者简介:郁海彬(1990),男,工程师,硕士,从事电力调度与电力通信技术方面的研究,yuafuhan@163.com
  • 基金资助:
    国网上海市电力公司科学技术项目(SGTYHT/21-JS-223)

Low-carbon economic scheduling of deep peak regulating market with the participation of wind power,thermal power,storage and carbon capture units considering demand response

YU Haibin(), GAO Yiling, LU Zengjie, DONG Shuai, LU Lin, REN Yizhi   

  1. Shibei Power Supply Company of State Grid Shanghai Municipal Electric Power Company, Shanghai 200040, China
  • Received:2023-04-14 Revised:2023-04-26 Online:2023-08-25 Published:2023-08-22
  • Supported by:
    Science and Technology Project of State Grid Shanghai Municipal Electric Power Company(SGTYHT/21-JS-223)

摘要:

“双碳”目标背景下的新型能源体系既要大力发展清洁能源,又需要发挥火电的保障作用。为解决现有源、荷两侧市场机制不足以适应高比例可再生能源渗透率电网的调峰需求,构建了一种价格型需求侧响应(PBDR)下的风-火-储-碳捕集多源联合深度调峰(DPR)模型,并分析了其特性。该模型不仅解决了火电机组深度调峰损耗大、成本高、碳排放多、参与调峰积极性差等问题,而且优化了源-荷双侧出力及负荷曲线,呈现良好的削峰填谷效果,并缓解了电网的调峰压力和成本。算例表明,所建模型在提升系统风电消纳水平、降低火电机组煤耗、控制运行成本及减少深度调峰次数等方面成效显著,引入碳捕集机组参与深度调峰,进一步减少了碳排放量并促进储能参与深度调峰收益。根据火-储市场主体的成本特性考虑定价策略,实现了电网深度调峰运行的经济性和低碳性。

关键词: 源-荷特性, 深度调峰, 碳排放量, 清洁低碳, 分时电价, 储能, 新能源, “双碳”目标, 需求侧响应

Abstract:

Under the "dual carbon" target, it is necessary to vigorously develop clean energy and keep the guarantee role of thermal power. In order to adapt the market mechanism on both source and load end to the peak-load shaving requirements of the power grid with high permeability of renewable energy,a multi-source deep peak regulation (DPR) model with the participation of wind power,thermal power,storage and carbon capture units is proposed based on priced-based demand response(PBDR),and the characteristics of the demand response mechanism are analysed. The model not only solves the excessive energy loss, high cost, high carbon emissions and lack of motivation in participating in DPR of thermal power units, but also optimizes their output and load curves, working well on peak-load shifting, peak regulation cost reduction and pressure alleviation. Numerical study examples show that the proposed model is effective in improving wind power consumption, and reducing the coal consumption, operation cost and deep peak regulation times of thermal power units. Carbon capture units can further reduce the carbon emissions and facilitate energy storage units' earnings from participation in DPR. The pricing strategy considering the cost characteristics of thermal-storage units realizes the economic and low-carbon DRP of power grid.

Key words: source-load characteristics, deep peak regulation, carbon emission, time-of-use tariff, energy storage, new energy, "dual carbon" target, priced-based demand response

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