Regulation Power Evaluation Method of Demand Response by Electricity Price-Demand Elasticity Matrix Considering Equipment Fault Rate

Men, Kun; Wu, Junyang; Zhou, Shengxi

doi:10.1109/auteee48671.2019.9033403

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…After the TOU implementation, the price differences between peak and valley periods make customers move some electricity consumption to the valley for reducing their electricity costs. Classical TOU based on the price elasticity matrix is studied in Literature [7,8], which provide many benefits, including promoting energy consumption, increasing load rate, and improving utilization efficiency [8]. So, it is necessary to make a reasonable period partition for customers to develop a feasible power consumption plan [9].…”

Section: Introductionmentioning

confidence: 99%

Time-of-Use Period Partition Based on Improved Fuzzy C-Means and Abnormal Period Correction

Wang,

Ma,

Ling

et al. 2023

Preprint

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In time-of-use tariff period partition, clustering algorithms are commonly used. However, as load demands become more diverse in this big data era, large amount of non-linear data makes conventional clustering algorithms methods no longer be applicable in this field alone. Facing high-time-resolution daily load data with strong non-linearity, we propose a new method to partition periods. It consists of an improved fuzzy c-means clustering algorithm and a correction method for abnormal periods. Firstly, we propose modified fuzzy membership functions to improve the initialization of clustering for operation efficiency. Secondly, the method for calculating the fuzzy parameters based on the loss function is given. Thirdly, the initial period partition is obtained by the improved clustering. Next, the recognition model and fuzzy subsethood-based correction model for abnormal periods are structed, then the corrected period partition is confirmed. Finally, the effectiveness of the proposed methods is verified by two daily load data with a time resolution of 5 minutes.

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