Multiple-Indicator Filtering-Based Information Interaction Evaluation Method of Automatic Distribution Master Station for Grid Security

Peng Li, Jinyuan Shi, Ruifeng Zhao (), Jiangang Lu, Kailin Wang and Wenxin Guo
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Peng Li: NARI Group Co., Ltd., Nanjing 210037, China
Jinyuan Shi: NARI Group Co., Ltd., Nanjing 210037, China
Ruifeng Zhao: Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China
Jiangang Lu: Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China
Kailin Wang: NARI Group Co., Ltd., Nanjing 210037, China
Wenxin Guo: Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510060, China

Energies, 2024, vol. 17, issue 14, 1-19

Abstract: Automatic distribution master stations (ADMSs) are software platforms that can be used to monitor energy supply and consumption of power demand-side resources as well as to guarantee grid security. They play a vital role in maintaining the optimal performance and stability of electrical power systems. However, the stability of ADMSs is usually determined by the performance of the information interaction, which includes various challenges and complexities. Therefore, an efficient multiple-indicator filtering-based information interaction evaluation method for the ADMS is proposed in this paper. The proposed method first utilizes the principal component analysis (PCA) to filter the indicators of the ADMS. Then, the data envelopment method and the analytic network process (ANP) are employed to remove the invalid indicators and to determine the indicator weights. In this regard, the secondary screening of the indicators is completed, the effective indicators are obtained, and the accuracy of the evaluation system is improved. Results of the simulation show that the proposed method works well when evaluating information interaction performance, and it offers satisfactory performance evaluation of ADMSs.

Keywords: automatic distribution master station; information interaction; principal component analysis; grid security; power demand-side resources (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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