The method of distribution network fault location based on improved Dempster-Shafer Theory of evidence

Zhang, Zhen; Gao, Zhanjun; Liu, Siyuan; Zhao, Yan

doi:10.1109/appeec.2017.8308903

Cited by 7 publications

(7 citation statements)

References 2 publications

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“…4 are corrected by equation 9, and the expected alarm of BFMD-9 is constrained by equation (8). In these two different scenarios, all the expected alarms of BFMDs are calculated correctly by the formulas (5)- (9).…”

Section: Note Inmentioning

confidence: 99%

“…The proposed linear integer programming model for fault diagnosis is thus completed, with an objective function (3) to be minimized subject to constraints (5)- (9), and (16)- (18).…”

Section: ) Missing / Distorted / Reverse Alarms and Their Related Comentioning

confidence: 99%

“…In [8], a downstream marking algorithm utilizing status information generated by FIs is proposed, which is more accurate than a conventional upstream marking one. Reference [9] determines a final fault area based on evidence information obtained from FIs, distribution transformers, and trouble calls, using an improved Dempster-Shafer theory. Unfortunately, the methods proposed in [6]- [9] have not specifically addressed fault diagnosis in active power distribution systems, where power flow changes can be bi-directional, making these methods unadaptable.…”

Section: Introductionmentioning

confidence: 99%

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A Linear Integer Programming Model for Fault Diagnosis in Active Distribution Systems With Bi-Directional Fault Monitoring Devices Installed

Wang

Pang

et al. 2020

IEEE Access

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With the extensive installation of intelligent electronic devices with bi-directional fault monitoring capabilities, richer fault direction information can be collected and utilized to achieve an accurate fault diagnosis. In this paper, we consider the fault diagnosis problem in active distribution systems with distributed generators connected, such as rotating electrical machine power sources and centralized inverter interfaced renewable energy resources. The fault diagnosis problem is modeled as a linear integer programming problem with an objective to minimize the numbers of fault zones and false alarms. A novel functional form is derived to capture the expected alarms sent by bi-directional fault monitoring devices to be compared with the actual alarms received by the dispatch center. Uncertainties in both the monitoring and communication stages are considered in the model by formulating the numbers of false alarms in the objective function. Three types of suspected false alarms can be detected: "missing alarms", "distorted alarms", and "reverse alarms". By solving the developed optimization model for fault diagnosis, false alarms and suspected fault zones can be found. Case studies in a modified IEEE 33-bus system and a 55-bus system in Guangzhou, China are carried out in several different scenarios with multiple faults to demonstrate the performance of the proposed model. Numerical tests show that the proposed approach is superior in computational time such that it can be used for real-time fault diagnosis in active distribution systems. INDEX TERMS Active distribution system, bi-directional fault monitoring devices, fault diagnosis, linear integer programming.

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Section: Note Inmentioning

confidence: 99%

“…The proposed linear integer programming model for fault diagnosis is thus completed, with an objective function (3) to be minimized subject to constraints (5)- (9), and (16)- (18).…”

Section: ) Missing / Distorted / Reverse Alarms and Their Related Comentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Linear Integer Programming Model for Fault Diagnosis in Active Distribution Systems With Bi-Directional Fault Monitoring Devices Installed

Wang

Pang

et al. 2020

IEEE Access

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“…However, the Petri net method is too complex for the modeling of large-scale power grids, and the model versatility is poor when the grid topology changes. In References [15,16], the authors use multi-source information fusion to diagnose and analyze power-grid faults. Their methods can improve the accuracy and fault-tolerance of intelligent alarms to some extent, however information completeness cannot be guaranteed, and the redundancy of information will reduce the speed of analysis.…”

Section: Introductionmentioning

confidence: 99%

“…The abovementioned alarm methods can realize intelligent fault diagnosis in [9][10][11][12][13][14][15][16]. Alarm classification functions have also been used, for example in [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Classification Method for Grid-Monitoring Alarm Messages Based on Information Theory

et al. 2019

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Alarm messages for grid monitoring are an important way to supervise the operation of power grids. Since the use of alarm messages is increasing exponentially due to the continuous expansion of the scale of power grids, a processing method for alarm messages based on statistics is proposed in this study. Entropy theory in information theory is introduced into the calculation of information value in power-grid alarming. By means of multiple entropy definitions, an evaluation index system for information value is constructed. Based on the analytic hierarchy process (AHP), various alarm-message entropies are used as indices to comprehensively assess the information value and level of each alarm message. Finally, an example is given to illustrate the effectiveness and practicality of the proposed method. This study provides a new idea for the intelligent classification of alarm messages.

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Regional Fault Location of Distribution Network Based on Distributed Observation and Fusion of Multi-Source Evidence

Zhou,

Li,

et al. 2024

IEEE Trans. Power Delivery

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The method of distribution network fault location based on improved Dempster-Shafer Theory of evidence

Cited by 7 publications

References 2 publications

A Linear Integer Programming Model for Fault Diagnosis in Active Distribution Systems With Bi-Directional Fault Monitoring Devices Installed

A Linear Integer Programming Model for Fault Diagnosis in Active Distribution Systems With Bi-Directional Fault Monitoring Devices Installed

Intelligent Classification Method for Grid-Monitoring Alarm Messages Based on Information Theory

Regional Fault Location of Distribution Network Based on Distributed Observation and Fusion of Multi-Source Evidence

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