Using integrated method to rank the power system contingency
| Autor: | A. Simab, Sepide Yazdi, S. Chatrsimab, Mohsen Simab |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Artificial neural network Network security business.industry Computer science 020209 energy Rank (computer programming) General Engineering 02 engineering and technology computer.software_genre Electric power system Stochastic frontier analysis Ranking Order (exchange) 0202 electrical engineering electronic engineering information engineering Data mining business Contingency computer |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 2345-3605 |
| DOI: | 10.24200/sci.2017.4120 |
| Popis: | Contingency ranking is one of the most important stages in the analysis of power system security. In this paper, an integrated algorithm has been proposed to address this issue. This algorithm employs neural networks method to quickly estimate the power system parameters and Stochastic Frontier Analysis (SFA) in order to calculate the e ciency of each contingency. Network security indices (voltage violation and line flow violation) and economic indices (locational marginal price and congestion cost) have been simultaneously considered to rank the contingencies. The e ciency of each contingency shows its severity, and indicates that it a ects network security and economic indices concurrently. The proposed algorithm has been tested on IEEE 14-bus and 30-bus test power systems. Simulation results show the high e ciency of the algorithm. Test resultsindicate that predicted quantities are estimated accurately and quickly. The proposed method is capable of producing fast and accurate network security and economic indices, so that it can be used for online ranking. |
| Databáze: | OpenAIRE |
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