中国电力 ›› 2024, Vol. 57 ›› Issue (2): 202-211.DOI: 10.11930/j.issn.1004-9649.202304028

• 技术经济 • 上一篇    下一篇

基于多维价格弹性系数的分时电价对负荷特性影响机理

唐文升1(), 王阳1(), 张煜2(), 刘席洋3(), 谭清坤2(), 吴鹏2(), 陈宋宋4(), 杨菁5()   

  1. 1. 国家电网有限公司,北京 100031
    2. 国网能源研究院有限公司,北京 102209
    3. 国家电网有限公司大数据中心,北京 100052
    4. 中国电力科学研究院有限公司,北京 100192
    5. 国家电网有限公司客户服务中心,天津 300309
  • 收稿日期:2023-04-06 接受日期:2023-09-18 出版日期:2024-02-28 发布日期:2024-02-28
  • 作者简介:唐文升(1968—),男,硕士,高级经济师,从事电力市场营销工作,E-mail:wensheng-tang@sgcc.com.cn
    王阳(1985—),女,博士,高级工程师,从事售电市场分析预测和电动汽车研究,E-mail: yang-wang@sgcc.com.cn
    张煜(1983—),男,通信作者,博士,高级工程师,从事售电市场分析预测、电力供需分析研究,E-mail:zhangyu2@sgeri.sgcc.com.cn
    刘席洋(1991—),男,博士,工程师,从事用电需求分析预测和电力系统分析研究,E-mail:ncepulxy@126.com
    谭清坤(1988—),男,博士,工程师,从事电能替代、需求侧管理、虚拟电厂、多能互补、综合能源等研究,E-mail:tanqingkun@sgeri.sgcc.com.cn
    吴鹏(1978—),男,硕士,正高级工程师,从事电力市场营销工作,E-mail:wupeng@sgeri.sgcc.com.cn
    陈宋宋(1987—),男,博士,高级工程师,从事智能用电互动和人工智能应用技术研究,E-mail:chensongsong2010@163.com
    杨菁(1989—),女,博士,高级工程师,从事电力市场分析预测和数据管理运营研究,E-mail:jing-yang@sgcc.com.cn
  • 基金资助:
    国家电网有限公司科技项目(支撑新型电力系统的负荷精准评估、调控技术研究及应用,5108-202218280A-2-0-XG)。

Influence Mechanism of Time-of-Use Electricity Prices on Industry Load Characteristics Based on Multi-dimensional Price Elasticity Coefficient Matrix

Wensheng TANG1(), Yang WANG1(), Yu ZHANG2(), Xiyang LIU3(), Qingkun TAN2(), Peng WU2(), Songsong CHEN4(), Jing YANG5()   

  1. 1. State Grid Corporation of China, Beijing 100031, China
    2. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
    3. Big Data Center of State Grid Corporation of China, Beijing 100052, China
    4. China Electric Power Research Institute Co., Ltd., Beijing 100192, China
    5. Customer Service Center of State Grid Corporation of China, Tianjin 300309, China
  • Received:2023-04-06 Accepted:2023-09-18 Online:2024-02-28 Published:2024-02-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research and Application of Precise Load Assessment and Regulation Technology to Support New Power Systems, No.5108-202218280A-2-0-XG).

摘要:

基于23个省级电力公司经营区各行业固定用户群负荷曲线,测算多维价格弹性系数评估分时电价调整对各地区各行业峰谷时段用电的影响,并分析峰谷段电力需求对多维价格指标的敏感性。利用多维价格弹性系数定量评估各地区各行业降低峰段电量、提升谷段电量、缩小负荷峰谷差率三维电力电量指标对提高高峰时段电价、降低低谷时段电价、拉大峰谷电价比三维价格指标的敏感性。根据多维价格弹性系数分析结果可针对不同地区、行业、时段提出分时电价优化调整策略。

关键词: 分时电价, 价格弹性系数, 负荷峰谷差率, 峰谷电量转移, 行业负荷

Abstract:

Based on the load curves of fixed user groups of various industries in 23 provinces, a multi-dimensional price elasticity coefficient is proposed to evaluate the impact of time-of-use electricity price adjustment on the peak and valley electricity consumption of various industries in various provinces, and the sensitivity of peak-valley power demand to multi-dimensional price indicators is analyzed. The multi-dimensional price elasticity coefficient was used to quantitatively evaluate the sensitivity of the three-dimensional power indicators of various industries in different regions, including reducing peak electricity, increasing valley electricity and reducing the load peak-valley difference rate, to the three-dimensional price indicators, including increasing the peak electricity price, reducing the valley electricity price and increasing the peak-to-valley electricity price ratio. The time-of-use electricity price optimization and adjustment strategies can be proposed for different regions, industries and time periods according to the analytical results of multi-dimensional price elasticity coefficient.

Key words: time-of-use electricity prices, price elasticity coefficient, load peak-to-valley difference, peak-to-valley power transfer, industry load