基于熵权—灰色关联变权重的有序用电决策方法
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TM73

基金项目:

湖南省自然科学基金(2020JJ5585,2020JJ5777);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)


The decision-making method of orderly power consumption based on variable weights given by the entropy weight-grey relation
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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。在此背景下,提出一种基于熵权—灰色关联变权重的有序用电决策方法。首先,克服单一常权重对异常指标不能灵敏反应的缺陷,将信息熵与灰色关联度相结合引入可变权重,对用户参与有序用电的潜力进行综合评估,以此确定企业参与有序用电优先级。然后,为避免传统人为编排有序用电方案导致收益损失,提出有序用电辅助决策方法,并基于MATLAB仿真模拟用户避峰、错峰等操作。最后,以长沙市黑石线2020年迎峰度夏运行方案为例验证决策方法的准确性与有效性。仿真结果表明,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,能够有效缓解高峰期电网调峰压力,具有一定的经济性与工程实践价值。

    Abstract:

    Nowadays, the contradiction in the seasonal and periodic power supply and demand is gradually dominant. The orderly use of electricity via avoiding peak and shifting peak can alleviate the contradiction, delay the construction of transmission and distribution facilities and confirm the safe operation of the power system. Under the background, a decision-making method of orderly Power consumption is proposed with weight given by the entropy weight-grey relation. Firstly, since the constant weight is insensitive to abnormal indicators, the information entropy is combined with the grey correlation degree to decide the weight. After that, the potential is comprehensively evaluated for users participating in the orderly power consumption so as to determine the priority of enterprises to participate in orderly power consumption. Then, in order to reduce the profit loss of traditional orderly power consumption scheme by the manual decision, an auxiliary decision-making method of orderly power consumption is proposed to simulate the peak avoidance and peak staggering of users. In the end, the operation scheme of the Changsha Heishi line in summer 2020 is simulated as an example. It is shown that the proposed method can alleviate the peak load regulation pressure of the power grid during the peak time and it has good economic and practical value in engineering.

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唐夏菲,殷旭锋,刘镂志,等.基于熵权—灰色关联变权重的有序用电决策方法[J].电力科学与技术学报,2022,37(5):164-173.
Tang Xiafei, Yin Xufeng, Liu Louzhi, et al. The decision-making method of orderly power consumption based on variable weights given by the entropy weight-grey relation[J]. Journal of Electric Power Science and Technology,2022,37(5):164-173.

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  • 在线发布日期: 2022-12-01
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