International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Improving the Power System Security using UPFC and Optimization with Mayfly Algorithm

Author :A.Amarendra, L Ravi Srinivas, R Srinivasa Rao

Article Citation :A.Amarendra ,L Ravi Srinivas ,R Srinivasa Rao , (2021 ) " Improving the Power System Security using UPFC and Optimization with Mayfly Algorithm " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 5-14, Volume-9,Issue-3

Abstract : The security of a power system can be defined as its ability to withstand a set of severe disturbances and to survive transition to an acceptable new steady state condition. The introduction of flexible AC transmission system (FACTS) in a power system improves the stability, reduces the power losses, reduces the cost of generation and also improves the load ability of the system.In this paper, technological development with modelling of FACTS devices shown to provide system stability and reduce the losses as well as reduce the fuel cost. FACTS devices like static synchronous compensator (STATCOM),Interline Power Flow Controller (IPFC), unified power flow controller (UPFC) andThyristor-Controlled Series Compensation (TCSC)are fitted in the proper location of the transmission line to reduce the losses. In proposed method, Mayfly Optimization Algorithm (MA) is applied to determine optimal location of FACTS devices in a power system to improve power system security. The proposed method is tested with the IEEE 30 bus, IEEE 118 bus and IEEE 300 bus system and also the corresponding line loading, line limits, generator limits, and bus voltage impact and etc. are analysed. The projected method is executed in MATLAB and tested with the various cases.The proposed method provide more power demand and system steadiness also reduce the fuel cost as compare to the existing techniques of Particle Swarm optimization (PSO), Firefly optimization and Yin-Yang- Pair Optimization (YYPO). Keywords - FACTS Devices; Mayfly Optimization Algorithm (MA); Power Losses; Fuel Cost

Type : Research paper

Published : Volume-9,Issue-3


DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-17854   View Here

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