A Graph Model for Enhancing Situational Awareness in Power Systems
| Title | A Graph Model for Enhancing Situational Awareness in Power Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Gavgani, M. H., Eftekharnejad, S. |
| Conference Name | 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) |
| ISBN Number | 978-1-5090-4000-1 |
| Keywords | blackout, blackout threats, cascading outages, composability, contingency selection, critical links, decision making, graph model, graph theory, IEEE 118-bus systems, IEEE 30-bus systems, immediate threats graph, Indexes, ITG, LCI, LDG, Line Criticality Index, line dependency graph, line outage impact prediction, Line Vulnerability Index, Load flow, LVI, Metrics, online visualization, power flow information, power grid operation, power grid security assessment, power grid vulnerability analysis, power grids, power system, power system faults, power system reliability, power system security, power transmission lines, power transmission reliability, pubcrawl, Regression tree analysis, Resiliency, security, security analysis, security issues, situational awareness, system operator, system threats estimation, system threats visualization, Transmission line measurements, visualization, vulnerable links |
| Abstract | As societies are becoming more dependent on the power grids, the security issues and blackout threats are more emphasized. This paper proposes a new graph model for online visualization and assessment of power grid security. The proposed model integrates topology and power flow information to estimate and visualize interdependencies between the lines in the form of line dependency graph (LDG) and immediate threats graph (ITG). These models enable the system operator to predict the impact of line outage and identify the most vulnerable and critical links in the power system. Line Vulnerability Index (LVI) and Line Criticality Index (LCI) are introduced as two indices extracted from LDG to aid the operator in decision making and contingency selection. This package can be useful in enhancing situational awareness in power grid operation by visualization and estimation of system threats. The proposed approach is tested for security analysis of IEEE 30-bus and IEEE 118-bus systems and the results are discussed. |
| URL | http://ieeexplore.ieee.org/document/8071427/ |
| DOI | 10.1109/ISAP.2017.8071427 |
| Citation Key | gavgani_graph_2017 |
- Regression tree analysis
- power grid operation
- power grid security assessment
- power grid vulnerability analysis
- power grids
- power system
- power system faults
- power system reliability
- power system security
- power transmission lines
- power transmission reliability
- pubcrawl
- power flow information
- Resiliency
- security
- Security analysis
- security issues
- situational awareness
- system operator
- system threats estimation
- system threats visualization
- Transmission line measurements
- visualization
- vulnerable links
- Indexes
- blackout threats
- cascading outages
- composability
- contingency selection
- critical links
- Decision Making
- graph model
- graph theory
- IEEE 118-bus systems
- IEEE 30-bus systems
- immediate threats graph
- blackout
- ITG
- LCI
- LDG
- Line Criticality Index
- line dependency graph
- line outage impact prediction
- Line Vulnerability Index
- Load flow
- LVI
- Metrics
- online visualization