Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method

doi:10.1007/s11708-020-0703-2

Front. Energy

2021, Vol. 15

Issue (1) : 143-158 https://doi.org/10.1007/s11708-020-0703-2

RESEARCH ARTICLE

Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method

Leijiao GE¹, Yuanliang LI¹, Suxuan LI¹(

), Jiebei ZHU¹, Jun YAN²

¹. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
². Concordia Institute for Information Systems Engineering, Concordia University, Montreal 300072, Canada

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Abstract

As a key application of smart grid technologies, the smart distribution network (SDN) is expected to have a high diversity of equipment and complexity of operation patterns. Situational awareness (SA), which aims to provide a critical visibility of the SDN, will enable a significant assurance for stable SDN operations. However, the lack of systematic evaluation through the three stages of perception, comprehensive, and prediction may prevent the SA technique from effectively achieving the performance necessary to monitor and respond to events in SDN. To analyze the feasibility and effectiveness of the SA technique for the SDN, a comprehensive evaluation framework with specific performance indicators and systematic weighting methods is proposed in this paper. Besides, to implement the indicator framework while addressing the key issues of human expert scoring ambiguity and the lack of data in specific SDN areas, an improved interval-based analytic hierarchy process-based subjective weighting and a multi-objective programming method-based objective weighting are developed to evaluate the SDN SA performance. In addition, a case study in a real distribution network of Tianjin, China is conducted whose outcomes verify the practicality and effectiveness of the proposed SA technique for SDN operating security.

Keywords distribution networks operation and maintenance expert systems

Corresponding Author(s): Suxuan LI

Online First Date: 21 October 2020 Issue Date: 19 March 2021

Cite this article:

Leijiao GE,Yuanliang LI,Suxuan LI, et al. Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method[J]. Front. Energy, 2021, 15(1): 143-158.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-020-0703-2
https://academic.hep.com.cn/fie/EN/Y2021/V15/I1/143

Fig.1 Situation awareness of smart distribution networks.

Fig.2 Evaluation indicators framework of SDN SA effects.

Fig.3 Indicator layer A of SA perception effect for SDN.

Fig.4 Indicator layer B of SA comprehension effect for SDN.

Fig.5 Indicator layer C of SA prediction effect for SDN.

Tab.1 Freedom index

Fig.6 Flowchart of evaluation for SA effects.

Fig.7 SA framework of Tianjin distribution network.

Fig.8 Weight for AHP and IIAHP at different weighting factor values of q.

Fig.9 Weight for the proposed method at different weighting factor q and subjective preference coefficient a.

Tab.2 Weights of the proposed hybrid method, IIAHP, and multi-objective programming method

Fig.10 Statistical chart of normalized indicator score.

Tab.3 Comprehensive evaluation results

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