Fuzzy logic based MW contingency ranking against masking problem

Özdemir, Aydoğan; Singh, C.

doi:10.1109/pesw.2001.916899

Cited by 12 publications

(20 citation statements)

References 7 publications

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“…Fuzzy set theory was first introduced by Zadeh and was later applied for several types of complex engineering problems, which were difficult to solve by conventional techniques [13]. Advantage of fuzzy is: 1. it uses the linguistic variables to describe the behavior of the system.…”

Section: Fuzzy Logic and Fuzzy Based Formulationmentioning

confidence: 99%

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Fuzzy based contingency assessment using performance indices with masking effect

Krishnakumar

Soundarajan

Gnanadass

2012

2012 IEEE Students' Conference on Electrical, Electronics and Computer Science

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Nowadays the Stability of the power system has become very vulnerable due to frequent voltage instability. Contingency assessment has to be carried out to figure out the lines which are most vulnerable to instability. In this paper contingency assessment is done by a novel technique in which performance indices (PI) obtained from the variation of bus voltage magnitude and apparent power of the transmission line are taken into account with masking effect. The overall ranking of the severity of the contingencies is obtained through fuzzy logic. For this purpose we propose a three step technique: in first step the performance indices are obtained through power flow; in second step the masking effect is removed; fuzzy logic based overall ranking is obtained in the third step. The approach is illustrated on IEEE 14 bus system. This approach is suitable for different types of plots. By knowing the severity of the contingency the operator can sketch a control action in the real time before the system moves towards instability.

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Section: Fuzzy Logic and Fuzzy Based Formulationmentioning

confidence: 99%

“…Fuzzy Rule A fuzzy control rule is a fuzzy conditional statement in which the antecedent is a condition and the consequent is a control action [13]. In this paper Mamdani control is used.…”

Section: )mentioning

confidence: 99%

Fuzzy based contingency assessment using performance indices with masking effect

Krishnakumar

Soundarajan

Gnanadass

2012

2012 IEEE Students' Conference on Electrical, Electronics and Computer Science

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“…The fuzzy logic clustering technique was adopted in [7] by Matos and so forth to evaluate global multi-contingency steady-state security. Literatures [8][9][10] proposed a fuzzy logic-based contingency ranking method instead of the conventional performance index approach to overcome the mask problems for power system static security analysis. Marannino et al [10] proposed a neuro-fuzzy method for the voltage collapse risk classification.…”

Section: Introductionmentioning

confidence: 99%

Online Steady-State Security Awareness Using Cellular Computation Networks and Fuzzy Techniques

Venayagamoorthy

Gao

2020

Energies

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Power system steady-state security relates to its robustness under a normal state as well as to withstanding foreseeable contingencies without interruption to customer service. In this study, a novel cellular computation network (CCN) and hierarchical cellular rule-based fuzzy system (HCRFS) based online situation awareness method regarding steady-state security was proposed. A CCN-based two-layer mechanism was applied for voltage and active power flow prediction. HCRFS block was applied after the CCN prediction block to generate the security level of the power system. The security status of the power system was visualized online through a geographic two-dimensional visualization mechanism for voltage magnitude and load flow. In order to test the performance of the proposed method, three types of neural networks were embedded in CCN cells successively to analyze the characteristics of the proposed methodology under white noise simulated small disturbance and single contingency. Results show that the proposed CCN and HCRFS combined situation awareness method could predict the system security of the power system with high accuracy under both small disturbance and contingencies.

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“…A análise de contingências tem como objetivo identificar as contingências críticas do sistema, e classificá-las por ordem de severidade, o que usualmente é realizado através da utilização de um índice de performance [2][3][4][5][6][7]. Entretanto, a utilização do índice de performance para sobrecarga de potência ativa nos ramos, pode resultar em um mascaramento (masking effect) dos resultados, o que pode fazer com que contingências não-críticas sejam analisadas e contingências críticas não recebam a merecida atenção.…”

Section: Introductionunclassified

“…Com relação à análise de contingências, na referência [2] é apresentado um procedimento, baseado em lógica nebulosa, para a seleção de contingências, o qual foi o ponto de partida para a elaboração desta dissertação de mestrado que culminou com o desenvolvimento de um fator para minimizar o mascaramento e de um índice nebuloso para a classificação de contingências.…”

Section: Introductionunclassified

Um metodo baseado em logica nebulosa para classificação de contingencias em redes de energia eletrica

Grilo¹,

Murari²

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Nesse trabalho de pesquisa é discutida a utilização do índice de performance como método na análise estática de contingências considerando sobrecargas nas linhas de transmissão e nos transformadores. Segundo a literatura, o índice de performance de segunda ordem é mais utilizado devido ao menor esforço computacional requerido, no entanto, a utilização de tal índice resulta em um determinado tipo de erro na classificação de contingências, chamado mascaramento. Tendo em vista a minimização do mascaramento, é desenvolvido um fator de severidade para cada contingência baseado em lógica nebulosa (fuzzy logic), que pode ser utilizado tanto para multiplicar o índice de performance de segunda ordem para evitar o mascaramento, quanto como um índice para classificação de contingências, intitulado Índice Nebuloso ou Índice Fuzzy (IF). Os resultados de ambos os índices são satisfatórios apresentando uma minimização do mascaramento e capturando a maioria das contingências severas.

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Fuzzy logic based MW contingency ranking against masking problem

Cited by 12 publications

References 7 publications

Fuzzy based contingency assessment using performance indices with masking effect

Fuzzy based contingency assessment using performance indices with masking effect

Online Steady-State Security Awareness Using Cellular Computation Networks and Fuzzy Techniques

Um metodo baseado em logica nebulosa para classificação de contingencias em redes de energia eletrica

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