Operation Condition Assessment Method and its Practical Implementation for Protection Systems

A well-monitored and reasonable-assessed protection system can lead to the improved operation and reliability of power systems. In this paper, a systematic and efficient operation condition assessment (OCA) method and its practical implementation for protection systems are proposed. Considering the device configuration and information transmission scheme, a protection system operation condition model (PSOCM) is developed. Based on the PSOCM, an OCA method is designed to assess the statuses of devices, information flows, information transmission branches, and relay functions. To verify the effectiveness of the proposed method, a master-substation operation condition assessment system (MS-OCAS), which utilizes real-time monitoring and other raw data, is demonstrated. As shown by the experimental results for a 110 kV IEC 61850-based substation, the proposed method, and system can realize the whole-view OCA of protection systems and can dramatically increase the maintenance efficiency.

[1]  Wei Tian,et al.  Risk Assessment in Extreme Events Considering the Reliability of Protection Systems , 2015, IEEE Transactions on Smart Grid.

[2]  Xiaohua Li,et al.  Analytical Modeling of Traffic Flow in the Substation Communication Network , 2015, IEEE Transactions on Power Delivery.

[3]  Jorge Arinez,et al.  A Real-Time Maintenance Policy for Multi-Stage Manufacturing Systems Considering Imperfect Maintenance Effects , 2018, IEEE Access.

[4]  Yu Chen,et al.  Cascading Failure Analysis of Cyber Physical Power System With Multiple Interdependency and Control Threshold , 2018, IEEE Access.

[5]  Loi Lei Lai,et al.  Reliability Evaluation of Communication-Constrained Protection Systems Using Stochastic-Flow Network Models , 2018, IEEE Transactions on Smart Grid.

[6]  M. Fotuhi-Firuzabad,et al.  Design and Routine Test Optimization of Modern Protection Systems With Reliability and Economic Constraints , 2012, IEEE Transactions on Power Delivery.

[7]  Jianhui Wang,et al.  Cyber-Physical Modeling and Cyber-Contingency Assessment of Hierarchical Control Systems , 2015, IEEE Transactions on Smart Grid.

[8]  Md. Apel Mahmud,et al.  Multi-Agent Approach for Enhancing Security of Protection Schemes in Cyber-Physical Energy Systems , 2017, IEEE Transactions on Industrial Informatics.

[9]  Yong Fu,et al.  Reliability Modeling and Evaluation of Power Systems With Smart Monitoring , 2013, IEEE Transactions on Smart Grid.

[10]  Sakir Sezer,et al.  Multidimensional Intrusion Detection System for IEC 61850-Based SCADA Networks , 2017, IEEE Transactions on Power Delivery.

[11]  Zexiang Cai,et al.  Risk Assessment for Protection System in Smart Substation Considering Information Reachability , 2018, 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[12]  Qi Huang Smart Substation: State of the Art and Future Development , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).

[13]  K. Frohlich,et al.  Model-aided diagnosis: an inexpensive combination of model-based and case-based condition assessment , 2001 .

[14]  Zeng-Ping Wang,et al.  Reliability Evaluation of the Communication Network in Wide-Area Protection , 2011, IEEE Transactions on Power Delivery.

[15]  Mohammad Shahidehpour,et al.  Power System Risk Assessment in Cyber Attacks Considering the Role of Protection Systems , 2017, IEEE Transactions on Smart Grid.

[16]  Paul M. Anderson Power System Protection , 1998 .

[17]  Wenyuan Li,et al.  Overhead Line Preventive Maintenance Strategy Based on Condition Monitoring and System Reliability Assessment , 2014, IEEE Transactions on Power Systems.

[18]  M Fotuhi-Firuzabad,et al.  New Considerations in Modern Protection System Quantitative Reliability Assessment , 2010, IEEE Transactions on Power Delivery.

[19]  Fushuan Wen,et al.  An Analytic Model for Fault Diagnosis in Power Systems Utilizing Redundancy and Temporal Information of Alarm Messages , 2016, IEEE Transactions on Power Systems.