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RISS 인기검색어
- 검색키워드
- 저자 : Srikanth Goud B. (검색결과 3 건)
- 무료
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Power Quality Enhancement in Grid-Connected PV/Wind/Battery Using UPQC: Atom Search Optimization
Goud B. Srikanth,Rao B. Loveswara 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2
Nowadays, the integration of hybrid renewable energy system (HRES) in grid connected load system are encouraged to increase reliability and reduce losses. The HRES system is connected to the grid system to meet required load demand and the integrated design creates the power quality (PQ) issues in the system due to non-linear load, critical load and unbalanced load conditions. Hence, in this paper, atom search optimization (ASO) with unifi ed power quality conditioner (UPQC) is designed to solve the PQ issues in HRES system. The main objective of the work is the mitigation of PQ issues and compensate load demand in HRES system. The PQ issue problems are solved with the help of UPQC device in the system. The UPQC performance is increased by introducing fractional order proportional integral derivative (FOPID) with ASO based controller in series and shunt active power fi lter to mitigate PQ issues of current and voltage. Initially, HRES is designed with photovoltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS) which connected with the load system. To analysis the presentation of the proposed controller structure, the non-linear load is connected with the system to create PQ issues in the system. The PQ issues are mitigated and load demand is reimbursed with the assistance of HRES system. The proposed method is employed in the MATLAB/Simulink platform and performances were analysed. Three diff erent cases are used to validate the performance of the proposed method such as Sag, Swell, and disturbances. Additionally, total harmonic distortion (THD) is analysed. The proposed method is compared with existing methods of proportional integral (PI) controller, gravitational search algorithm (GSA), biogeography based optimisation (BBO), grey wolf optimization (GWO), extended search algorithm (ESA), random forest algorithm (RFA) and genetic algorithm (GA).
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Hybrid ROCOF Relay for Islanding Detection
Rami Reddy Ch.,Harinadha Reddy K.,Aymen Flah,Srikanth Goud B.,Bajaj M.,Abdulaal M. J.,Milyani A. H. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
Distributed generation (DG) is increasing in day to day life to meet the global energy consumption demand. One of the major problems with such DG is islanding. The islanding is caused in the grid connected system when a part of DG is disconnected from the main grid and continues to feed the load connected. As per the IEEE 1547 DG interconnection standards, the islanding should be detected within 2 s after islanding. This paper presents, a new rate of change of frequency (ROCOF) based hybrid islanding detection approach. It combines the passive and active ROCOF methods. The simulation results indicate this method is very effi ciently classifying the islanding and non islanding events. It detects the zero power balanced islanding within 200 ms and unbalanced islanding within 100 ms. The simulation results are carried on Matlab/Simulink 2018B environment.
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Dashtdar Masoud,Sarada K.,Hosseinimoghadam Seyed Mohammad Sadegh,Kalyan C. H. Naga Sai,Venkateswarlu A. N.,Goud B. Srikanth,Reddy C. H. Rami,Belkhier Youcef,Bajaj Mohit,Reddy B. Nagi 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
In the discussion of fault location due to the existence of multiple branches in the distribution network, diff erent locations are obtained and this shows the importance of detecting the faulted section in the distribution network . In this paper, the new idea of modulating the current and three-phase voltage of the line’s beginning and histogram analysis has been used for fault location in the power network. First, threephases of current and voltage of the line’s beginning are converted separately through convolution into a modulated current signal and a voltage signal, respectively. Then by dividing the density ratio of the modulated voltage by the modulated current, the distance to fault location can be estimated; but there is the possibility of obtaining several fault locations in the distribution network. In the following, the faulted section can be estimated through a histogram analysis of the modulated voltage. Simulation results show that by modulating the three-phase voltage, there is a possibility to eliminate the eff ects of fault resistance, fault occurrence angle, fault type on the algorithm’s accuracy. In the end, the suggested algorithm was implemented on a 735 kV transmission network and an IEEE-15bus distribution network whose results demonstrate the appropriate accuracy of the suggested algorithm.
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