Fuzzy Comprehensive Evaluation of Performance Evaluation for Secondary Equipment in Smart Substation Based on Expert Ranking Method

Ma, Wenhao; Qian, Zhang; Ding, Jinjin; Ma, Yi

doi:10.1109/ccdc.2019.8832888

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…It is a subjective weighting method based on the opinions of scholars in relevant literature. This method takes the expert ranking method [43,44] as the theoretical basis, collects the weight of each index in the existing research results in the evaluation of urban-rural integration and related fields. On this basis, the collected results are processed and analyzed, and the statistical method used in the expert ranking method is used to solve the weight.…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

Evaluation Mechanism Design for the Development Level of Urban-Rural Integration Based on an Improved TOPSIS Method

Rao

Gao

2022

Mathematics

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Under the background of new-type urbanization and rural revitalization strategy, how to promote the development of urban–rural integration has become an important issue in today’s society. This paper designed a new evaluation mechanism for the development level of urban–rural integration. Specifically, a three-level evaluation index system of urban–rural integration development level was established from four aspects: spatial integration, economic integration, social integration and living environment integration. By combining the entropy weight method with the ranking method, a combination weighting method was proposed to determine the weight of each index in the index system. Furthermore, an improved TOPSIS method based on relative entropy and grey relational degree was proposed to evaluate the development level of urban–rural integration, which considering proximity from the perspectives of distance and shape and solving the problem that some situations cannot be compared through the original model. Then, the established evaluation mechanism was applied to make an empirical analysis for evaluating the development level of urban–rural integration in Hubei Province, China. Cluster analysis and obstacle factor analysis were used to further analyze the evaluation results. Finally, according to the evaluation results, some effective countermeasures and policy implications were provided to improve the development level of urban–rural integration in Hubei Province.

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Section: Entropy Weight Methodsmentioning

confidence: 99%

Evaluation Mechanism Design for the Development Level of Urban-Rural Integration Based on an Improved TOPSIS Method

Rao

Gao

2022

Mathematics

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“…For the monitored abnormal electricity consumption, this paper uses the fuzzy comprehensive evaluation method to diagnose the reason first, and then adopts different adjustment strategies. In order to apply the fuzzy comprehensive evaluation method, the abnormal electricity phenomenon set 1 and Table 2 [12] respectively:…”

Section: Abnormal Power Consumption Phenomenon and Cause Analysismentioning

confidence: 99%

“…The APC method cannot directly determine the cause of abnormal common electricity. The fuzzy comprehensive evaluation method can determine the most likely cause of abnormality through fuzzy decision-making, and is widely used in the evaluation of indicator system [10][11] and the effectiveness evaluation of expert ranking [12]. In the existing research, there is no method that can monitor and diagnose abnormal power consumption and make classification adjustment for different abnormal reasons.…”

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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Reliability Analysis System Based on Asymptotic Affiliation of Multidirectional Correlation Indicators for Power Communication Networks

Lu,

Zhou,

et al. 2024

2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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Fuzzy Comprehensive Evaluation of Performance Evaluation for Secondary Equipment in Smart Substation Based on Expert Ranking Method

Cited by 4 publications

References 5 publications

Evaluation Mechanism Design for the Development Level of Urban-Rural Integration Based on an Improved TOPSIS Method

Evaluation Mechanism Design for the Development Level of Urban-Rural Integration Based on an Improved TOPSIS Method

Smart grid electricity abnormal diagnosis and control strategy

Reliability Analysis System Based on Asymptotic Affiliation of Multidirectional Correlation Indicators for Power Communication Networks

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