Application of fuzzy logic approach for obtaining composite criteria based network contingency ranking for a practical electrical power systems

Despite the recent advances in space technologies, electrical power systems still are challenging researchers developing small satellites for low earth orbit use. In order to supply their subsystems, these satellites can only use the power stored on board from solar energy. Therefore, the electrical power system should ensure a maximum exploitation of energy sources and optimize the distribution of the available electrical power. In this context, Research Group of Intelligent Machines Laboratory in Tunisia developed a new intelligent electrical power subsystem to be used for pico satellites. This subsystem is based on fuzzy logic allowing a faster energy storage and better and efficient energy distribution. The intelligent electrical power subsystem was successfully integrated in ERPSat-1 pico satellite. In addition, the simulation has shown better results compared to other used methods in the previous electrical power systems used for small satellites.

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Selection of Load Node Model in Power Systems: Fuzzy Logic Approach

Information Technology Journal ◽

10.3923/itj.2003.148.153 ◽

2003 ◽

Vol 2 (2) ◽

pp. 148-153 ◽

Cited By ~ 3

Author(s):

Omar Y. Radaideh .

Keyword(s):

Fuzzy Logic ◽

Power Systems ◽

Fuzzy Logic Approach ◽

Logic Approach ◽

Selection Of

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Composite Criteria based Network Contingency Ranking using Fuzzy Logic Approach

2009 IEEE International Advance Computing Conference ◽

10.1109/iadcc.2009.4809089 ◽

2009 ◽

Cited By ~ 5

Author(s):

T.S.N.R.K. Srinivas ◽

K.Ramesh Reddy ◽

V.K.D. Devi

Keyword(s):

Fuzzy Logic ◽

Contingency Ranking ◽

Fuzzy Logic Approach ◽

Logic Approach

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Technical Diagnostics of Electric Equipment with the Use of Fuzzy Logic Models

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.792.324 ◽

2015 ◽

Vol 792 ◽

pp. 324-329 ◽

Cited By ~ 2

Author(s):

Vadim Manusov ◽

Javod Ahyoev

Keyword(s):

Fuzzy Logic ◽

Power Systems ◽

Electrical Power ◽

Technical Diagnostics ◽

Mathematical Apparatus ◽

Electric Networks ◽

Electrical Power Systems ◽

Logic Models ◽

Electric Equipment ◽

Fuzzy Logic Theory

The possible technical diagnostics method of electrical power systems (EPS) has been considered, in particular, the electric equipment of substations and electric networks by means of using mathematical apparatus of indistinct sets and fuzzy logic theory. It is shown that on the basis of indistinct expert estimates it is possible to do a prediction for possible causes of failures if preliminary estimates of the failures signs available are known.

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Development and Application of Probabilistic Performance Index for Ranking N-1 Contingencies

European Journal of Engineering and Technology Research ◽

10.24018/ejers.2021.6.5.2518 ◽

2021 ◽

Vol 6 (5) ◽

pp. 63-69

Author(s):

Saidu Y. Musa ◽

Monday A. Madaki ◽

Jinkai Haruna

Keyword(s):

Power Systems ◽

Power System ◽

Performance Index ◽

Electrical Power ◽

Power Performance ◽

Contingency Analysis ◽

Electrical Power Systems ◽

Contingency Ranking ◽

Voltage Performance

Contingency analysis and ranking are important tasks in modern electrical power systems which aim at keeping the power system secure, reliable, and stable. N-1 contingency is the loss of any one component of power system and is obviously the most frequent contingency in power system. Contingency ranking has most often been done using deterministic indices which can be either active power performance index (PIP), voltage performance index (PIV) or the overall performance index (PI). Power system contingencies are ranked based on the calculated Performance index for each contingency. Ranking is from the contingency with the highest performance index first and proceeds in a descending manner which corresponds to the most severe to the least severe contingency. Due to the fact that Contingencies are unpredictable events, researchers of recent have suggested the inclusion of the probability of the occurrence of a contingency in its ranking index. This makes the index probabilistic. In this work, the development and application of probabilistic performance index for ranking N-1 contingencies is considered. It is illustrated with a case study.

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