• 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 ›› 2023, Vol. 44 ›› Issue (1): 47-54.doi: 10.12204/j.issn.1000-7229.2023.01.006

• 双碳目标驱动下的能源电力经济与市场机制·栏目主持 文福拴教授、刘敦楠教授· • 上一篇    下一篇

考虑保险机制与用户需求响应的售电公司优化运营

温钱惠1(), 魏震波1(), 张勇林2(), 梁政1(), 何永祥3()   

  1. 1.四川大学电气工程学院,成都市 610065
    2.四川电力交易中心,成都市 610000
    3.国网四川省电力公司遂宁供电公司,四川省遂宁市 629000
  • 收稿日期:2022-04-08 出版日期:2023-01-01 发布日期:2022-12-26
  • 通讯作者: 魏震波 E-mail:648974546@qq.com;weizhenbo@scu.edu.cn;975054103@qq.com;liangzh2011@163.com;263694447@qq.com
  • 作者简介:温钱惠(1994),女,硕士研究生,主要研究方向为电力市场,E-mail:648974546@qq.com
    张勇林(1973),男,硕士,高级工程师,主要研究方向为电力市场,E-mail:975054103@qq.com
    梁政(1992),男,硕士研究生,主要研究方向为电力市场,E-mail:liangzh2011@163.com
    何永祥(1965),男,硕士,高级工程师,主要研究方向为电力工程技术,E-mail:263694447@qq.com
  • 基金资助:
    国家自然科学基金项目(52077146)

Optimized Operation of Electricity Sales Companies Considering the Insurance Mechanism and User Demand Response

WEN Qianhui1(), WEI Zhenbo1(), ZHANG Yonglin2(), LIANG Zheng1(), HE Yongxiang3()   

  1. 1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    2. Sichuan Electric Power Trading Center, Chengdu 610000, China
    3. State Grid Suining Electric Power Supply Company, Suining 629000, Sichuan Province, China
  • Received:2022-04-08 Online:2023-01-01 Published:2022-12-26
  • Contact: WEI Zhenbo E-mail:648974546@qq.com;weizhenbo@scu.edu.cn;975054103@qq.com;liangzh2011@163.com;263694447@qq.com

摘要:

购售电侧不确定性是制约售电公司运营的关键因素。为了利用第三方保险机制规避市场波动与提升需求响应收益,提出了一种现货市场下的售电公司优化运营模型。首先,在搭建含保险公司的现货市场结构基础上,建立了售电公司偏差考核模型及保费模型;其次,在双边长协合同中量化了用户越限惩罚机制和需求响应合同对用户效用的影响,并以用户支出最小与售电公司收益最大为目标,构建了现货市场下的售电公司优化运营模型,并给出相应求解算法;最后,采用某地区仿真数据对优化运营模型合理性与有效性进行了验证。结果表明:售电公司通过阶梯式需求响应激励机制能够引导用户积极响应;引入的保险机制能够有效地分散和转移电量波动风险,实现售电公司与用户的价值双赢。

关键词: 需求响应, 用户效用, 市场保险, 售电公司, 偏差考核

Abstract:

The uncertainty of the electricity purchase and sale sides is the key factor restricting the operation of the electricity sales company. This paper uses the third-party insurance mechanism to avoid market fluctuations and demand response to improve returns, and puts forward an optimized operation model for electricity sales companies under the spot market. Firstly, the deviation assessment model and premium model are established, the deviation assessment model of the user limit penalty mechanism and demand response contract on the user utility in the bilateral long association contract are quantified, and the optimal operation model is verified with the data of local users. The example results show that the electricity sales company can guide the users to respond positively through the stepped demand response incentive mechanism; the introduced insurance mechanism can effectively disperse and transfer the risk of electricity fluctuation, and realize the win-win value between the electricity sales company and the users.

This work is supported by National Natural Science Foundation of China(No. 52077146).

Key words: demand response, user utility, market insurance, electricity sales company, deviation assessment

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