Real‐time estimation of ATC using PMU data and ANN. Issue 17 (7th July 2020)

• Record Type: Journal Article
• Authors: Shukla, Devesh; Singh, S.P.
• Is Part Of: IET generation, transmission & distribution. Volume 14:Issue 17(2020)
• Page Start: 3604
• Page End: 3616
• Publication Date: 2020-07-07
• Subjects: phase measurement -- load flow -- neural nets -- optimisation -- power system measurement -- power system security -- reactive power -- search problems; PMU data -- artificial neural network architecture -- real‐time estimation -- available transfer capability -- real‐time data -- phasor measurement unit -- target output -- pattern search optimisation‐based method -- pattern search‐based ATC optimiser -- output forms -- ANN training -- active power -- reactive power -- current vectors -- PMU buses -- ATC values -- PMU emulation -- real‐time digital simulator; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2019.1260
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : An artificial neural network (ANN) architecture for real‐time estimation of available transfer capability (ATC) has been reported in this study. The real‐time data obtained from phasor measurement unit (PMU) is utilised to generate target output (ATC) using the pattern search optimisation‐based method. The set of information provided as input to the pattern search‐based ATC optimiser along with its output forms the input and target output for ANN training. The input information consists of active and reactive power injected along with voltage and current vectors measured at PMU buses. The ATC optimiser is functional as long as ANN is under training. Once the ANN is trained, it receives input set directly from PMU and produces ATC values. PMU emulation is employed for archiving the PMU data. The proposed method is tested on modified IEEE 24‐bus, IEEE 30‐bus, and IEEE 118‐bus test system. The proposed method has also been implemented on real‐time digital simulator.