基于熵权-灰色关联变权重的有序用电决策方法
CSTR:
作者单位:

长沙理工大学

基金项目:

湖南省自然科学基金青年基金项目(No.1541),长沙理工大学专业硕士研究生“实践创新与创业能力提升计划”(SJCX201951)资助


The Decision-Making Method of Orderly Power Consumption Based on Entropy Weight Grey Relation and Variable Weight
Author:
Affiliation:

Changsha University of Science

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    摘要:

    当前,季节性、时段性电力供需矛盾日益凸显,通过避峰、错峰、限电等措施开展的有序用电在一定程度上能够缓解电力供需紧张局势,更好地保障电力系统的平稳运行。首先,本文克服单一常权重对异常指标不能灵敏反应的缺陷,提出将信息熵与灰色关联度结合,引入变权重的方法应用于用户参与有序用电潜力的综合评估,以此确定企业参与有序用电优先级。然后,针对传统人为编排有序用电方案造成电网公司收益损失,提出了基于MATLAB实现的有序用电辅助决策方法,仿真模拟用户避峰、错峰等操作。以长沙市黑石线2020年迎峰度夏运行方案为例,结果表明,所提出的基于信息熵-灰色关联变权重的有序用电辅助决策方法,能够缓解高峰期电网调峰压力,具有一定的经济与实际工程价值。

    Abstract:

    At present, the contradiction between seasonal and periodic power supply and demand is increasingly prominent. The orderly use of electricity by means of avoiding peak and shifting peak can alleviate the contradiction between power supply and demand to a certain extent and delay the construction sequence of transmission and distribution facilities. First of all, this paper overcomes the defect that single constant weight can't react sensitively to abnormal indicators, and proposes to combine information entropy with grey correlation degree, and introduce the method of variable weight to apply to the comprehensive evaluation of the potential of users to participate in orderly power consumption, so as to determine the priority of enterprises to participate in orderly power consumption. Then, aiming at the profit loss of power grid companies caused by the traditional artificial arrangement of orderly power consumption scheme, an auxiliary decision-making method of orderly power consumption based on MATLAB is proposed to simulate the peak avoidance and peak staggering of users. Taking the operation scheme of Changsha Heishi line in summer in 2020 as an example, the results show that the proposed method based on information entropy grey correlation variable weight can alleviate the peak load regulation pressure of power grid in peak period, and has certain economic and practical engineering value.

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  • 收稿日期:2021-04-04
  • 最后修改日期:2021-04-28
  • 录用日期:2021-04-29
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