上海交通大学学报

上海交通大学学报 >

2023 , Vol. 57 >Issue 4: 452 - 463

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.062

新型电力系统与综合能源

计及实时碳减排的产消群价格型需求响应机制

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  • 1.国网江苏省电力有限公司 淮安供电分公司,江苏 淮安 210000
    2.山东科技大学 智能装备学院, 山东 泰安 271019
    3.清华大学 自动化系,北京 100084
    4.河海大学 能源与电气学院,南京 211100
朱月尧(1990-),工程师,从事电网运行及规划研究工作.

收稿日期: 2022-03-14

  修回日期: 2022-07-07

  录用日期: 2022-07-27

  网络出版日期: 2023-03-13

基金资助

国家自然科学基金(52107089);中国博士后科学基金(2021M700040)

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Price-Based Demand Response Mechanism of Prosumer Groups Considering Real-Time Carbon Emission Reduction

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  • 1. Huaian Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Huaian 210000, Jiangsu, China
    2. College of Intelligent Equipment, Shandong University of Science and Technology, Taian 271019, Shandong, China
    3. Department of Automation, Tsinghua University, Beijing 100084, China
    4. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Received date: 2022-03-14

  Revised date: 2022-07-07

  Accepted date: 2022-07-27

  Online published: 2023-03-13

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摘要

随着电力市场不断发展,电价机制不断得到完善,但在电价机制制定的过程中未将碳排放因素考虑在内,电价和碳排放成本在需求侧耦合方面的研究尚有欠缺.以更好地推动碳减排为目标,在产消者负荷调节优化过程中充分考虑产消者差异化的特性,提出考虑碳排放的价格型需求响应机制及边云协同优化策略.在保障公平性的前提下,利用所提出的碳-电折扣因子能使积极参与碳减排调节的产消者获得更多电价折扣.仿真实验表明:基于所提出的碳-电折扣因子的需求响应机制,在光伏发电量大于和小于需求量的情况下,售电商的效益分别可以提高2.4倍和0.9倍.

关键词： 碳减排; 需求响应; 边云协同; 光伏发电

本文引用格式

朱月尧, 祁佟, 吴星辰, 刘迪, 华昊辰 . 计及实时碳减排的产消群价格型需求响应机制[J]. 上海交通大学学报, 2023 , 57(4) : 452 -463 . DOI: 10.16183/j.cnki.jsjtu.2022.062

Abstract

With the continuous development of electricity market, electricity price mechanism has been continuously improved, but carbon emission factor has not been considered in the formulation of electricity price mechanism, and research on the demand side coupling of electricity price and carbon emission cost is still limited. Aiming at promoting carbon emission reduction, this paper fully considers the characteristics of prosumer differentiation in the process of load regulation and optimization of producers and consumers, and proposes a price demand response mechanism considering carbon emission and the edge cloud collaborative optimization strategy. By utilizing the proposed carbon electricity discount factor on the premise of fairness, prosumers who actively participate in the regulation of carbon emission reduction can obtain more electricity price discounts. The simulation results show that based on the proposed demand response mechanism with carbon electricity discount factor, the efficiency of electricity retailers can be increased by 2.4 and 0.9 times respectively when photovoltaic power generation is more or less than demand.

Key words： carbon emission reduction; demand response; edge cloud collaboration; photovoltaic power generation

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