scholarly journals Cascade failure analysis of power grid using new load distribution law and node removal rule

2016 ◽  
Vol 442 ◽  
pp. 239-251 ◽  
Author(s):  
Hai-Peng Ren ◽  
Jihong Song ◽  
Rong Yang ◽  
Murilo S. Baptista ◽  
Celso Grebogi
Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2219 ◽  
Author(s):  
Upama Nakarmi ◽  
Mahshid Rahnamay Naeini ◽  
Md Jakir Hossain ◽  
Md Abul Hasnat

Understanding and analyzing cascading failures in power grids have been the focus of many researchers for years. However, the complex interactions among the large number of components in these systems and their contributions to cascading failures are not yet completely understood. Therefore, various techniques have been developed and used to model and analyze the underlying interactions among the components of the power grid with respect to cascading failures. Such methods are important to reveal the essential information that may not be readily available from power system physical models and topologies. In general, the influences and interactions among the components of the system may occur both locally and at distance due to the physics of electricity governing the power flow dynamics as well as other functional and cyber dependencies among the components of the system. To infer and capture such interactions, data-driven approaches or techniques based on the physics of electricity have been used to develop graph-based models of interactions among the components of the power grid. In this survey, various methods of developing interaction graphs as well as studies on the reliability and cascading failure analysis of power grids using these graphs have been reviewed.


2016 ◽  
Vol 7 (4) ◽  
pp. 1951-1960 ◽  
Author(s):  
Vaishali Rampurkar ◽  
Polgani Pentayya ◽  
Harivittal A. Mangalvedekar ◽  
Faruk Kazi

2018 ◽  
Vol 31 ◽  
pp. 11010
Author(s):  
Riza Samsinar ◽  
Jatmiko Endro Suseno ◽  
Catur Edi Widodo

The distribution network is the closest power grid to the customer Electric service providers such as PT. PLN. The dispatching center of power grid companies is also the data center of the power grid where gathers great amount of operating information. The valuable information contained in these data means a lot for power grid operating management. The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. Specific methods for online analytics information systems resulting from data warehouse processing with OLAP are chart and query reporting. The information in the form of chart reporting consists of the load distribution chart based on the repetition of time, distribution chart on the area, the substation region chart and the electric load usage chart. The results of the OLAP process show the development of electric load distribution, as well as the analysis of information on the load of electric power consumption and become an alternative in presenting information related to peak load.


2012 ◽  
Vol 27 (03) ◽  
pp. 1350023 ◽  
Author(s):  
JIANWEI WANG

Cascading failures can occur in many infrastructure networks. How to protect these networks and improve their robustness against cascading failures has been of great interest. To this end, considering that there exist some monitoring and protection measures in these networks, we propose a new mitigation strategy and investigate its effectiveness on improving the robustness level against cascading failures in Barabáasi-Albert (BA) networks and the power grid. We numerically observe that only by once adopting this strategy the robustness of BA networks and the power grid can be improved dramatically. We additionally find that BA networks and the power grid can reach the strongest robustness against cascading failures in the case of the specific value of the parameter α, which controls the strength of the initial load on a node. And we obtain the correlation between the load distribution and the effectiveness of the mitigation strategy. Our findings can well explain the origin of the stronger robustness against cascading failures of complex networks and may be very useful for guiding the improvement robustness of infrastructure networks and avoiding various cascading-failure-induced disasters in the real world.


2006 ◽  
Vol 4 (3) ◽  
pp. 235-238 ◽  
Author(s):  
Xiaofeng Weng ◽  
Yiguang Hong ◽  
Ancheng Xue ◽  
Shengwei Mei

2007 ◽  
Vol 17 (07) ◽  
pp. 2465-2475 ◽  
Author(s):  
MARTÍ ROSAS-CASALS ◽  
SERGI VALVERDE ◽  
RICARD V. SOLÉ

We present an analysis of the topological structure and static tolerance to errors and attacks of the September 2003 actualization of the Union for the Coordination of Transport of Electricity (UCTE) power grid, involving thirty-three different networks. Though every power grid studied has exponential degree distribution and most of them lack typical small-world topology, they display patterns of reaction to node loss similar to those observed in scale-free networks. We have found that the node removal behavior can be logarithmically related to the power grid size. This logarithmic behavior would suggest that, though size favors fragility, growth can reduce it. We conclude that, with the ever-growing demand for power and reliability, actual planning strategies to increase transmission systems would have to take into account this relative increase in vulnerability with size, in order to facilitate and improve the power grid design and functioning.


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