DocumentCode :
1818770
Title :
Simulation of cascade contingencies in power systems
Author :
Sanchez, John Alejandro ; Ríos, Mario Alberto ; Jimenez, Baisser Antonio
Author_Institution :
Dept. Electr. Eng. & Electron., Univ. de los Andes, Bogota, Colombia
fYear :
2009
fDate :
1-4 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper proposes a probabilistic model based on Monte Carlo simulations in order to study the cascade phenomena. Firstly, the probabilistic model takes into account the operation of protection system, such as hidden failures and unnecessary operations, which are simulated. Once the sequence of protections is randomly generated, the state of the power system is evaluated by means of the load flow, in order to simulate sympathetic cascades, i.e. to simulate overloads and line´s openings. The overload branches analysis involves a deterministic step and a probabilistic model of the action of the operator. The severity of contingencies due to cascades is measured with three indicators: number of involved branches, expected energy non-supplied (EENS), and loading of the system. The EENS is computed as function of the load shedding, while the system loading is computed for post-contingency condition using the continuation power flow. The proposed method has been tested on the IEEE 118 bus system.
Keywords :
Monte Carlo methods; load flow; power engineering computing; power system protection; Monte Carlo simulations; cascade contingencies; continuation power flow; expected energy non-supplied; hidden failures; load flow; load shedding; power systems; protection system; Artificial intelligence; Circuit faults; Circuit stability; Load flow; Power system analysis computing; Power system modeling; Power system simulation; Power system stability; System testing; Voltage; Monte Carlo simulation; cascade failures; hidden failures; security of power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International
Conference_Location :
Glasgow
Print_ISBN :
978-1-4244-6823-2
Type :
conf
Filename :
5429407
Link To Document :
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