Quadratic function based price adjustment strategy on monitoring process of power consumption load in smart grid

He, Bingjie; Li, Junxiang; Li, Dongjun; Dong, Jingxin; Zhu, Liting

doi:10.1016/j.ijepes.2021.107124

Cited by 8 publications

(1 citation statement)

References 32 publications

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“…Statistical process control (SPC) and automatic process control (APC) methods in quality process control are also used to monitor exceptions. For example, SPC is used to monitor the abnormal electricity phenomenon, and then the fuzzy comprehensive evaluation method is used to analyze the cause of abnormal electricity use [7]; Use the APC method to monitor the process of abnormal electricity consumption, and then use the electricity price demand response mechanism to adjust the electricity consumption [8][9].…”

Section: Introductionmentioning

confidence: 99%

Smart grid electricity abnormal diagnosis and control strategy

Sun,

Zhao,

Guo

2023

Second International Conference on Electronic Information Technology (EIT 2023)

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In order to formulate classification adjustment methods for different abnormal power consumption reasons of smart grid, a strategy based on quadratic root function price adjustment and calculation demarcation is proposed, which is based on automatic process control and fuzzy comprehensive evaluation for monitoring, diagnosis and classification adjustment. Firstly, the exponential weighted moving average is used as the control variable of automatic process control and the upper and lower bounds are determined to monitor the power consumption, and the monitoring model is established; Secondly, the fuzzy comprehensive evaluation method is used to diagnose the cause of abnormal power consumption; Finally, according to different reasons, the classification adjustment strategy is formulated and the electricity price demand response adjustment model is established. The application of fuzzy comprehensive evaluation method can effectively analyze the causes of abnormal power consumption, and the development of classification adjustment strategy can eliminate abnormal power consumption and obtain stable fluctuations.

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Section: Introductionmentioning

confidence: 99%