Electric spring average model development and dynamic analysis for demand‐side management. Issue 2 (25th February 2020)

• Record Type: Journal Article
• Authors: Areed, Emad Fuad; Abido, Mohamed A.; Al‐Awami, Ali T.; Hussain, Syed Asim
• Is Part Of: IET smart grid. Volume 3:Issue 2(2020)
• Page Start: 226
• Page End: 236
• Publication Date: 2020-02-25
• Subjects: particle swarm optimisation -- control system synthesis -- dynamic response -- voltage control -- renewable energy sources -- demand side management -- power distribution control; electric spring average model development -- dynamic analysis -- demand‐side management -- averaged model -- dynamic response analysis -- dynamic behaviour -- switching model -- modulating signal -- output voltage signals -- current signals -- bus voltage regulation -- distribution system -- intermittent renewable energy source -- ES controller design problem -- time domain‐based objective function -- time‐weighted voltage deviations -- particle swarm optimisation method -- nonlinear model -- dynamic performance -- ES model accuracy -- steady‐state analysis -- renewable source current -- load variations; B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8110C Power system control -- B8120J Distribution networks -- C1180 Optimisation techniques -- C1310 Control system analysis and synthesis methods -- C3110B Voltage control -- C3340H Control of electric power systems; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2018.0149
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : This study proposes a new averaged model for steady‐state and dynamic response analysis of the electric spring (ES). The accuracy of steady‐state and dynamic behaviour of the ES is demonstrated. Further, the dynamic behaviour of the proposed model is described as a function of the modulating signal. The developed model is used to design a controller for bus voltage regulation in a distribution system with an intermittent renewable energy source. The ES controller design problem is formulated as an optimization problem with a time domain‐based objective function to reduce the time‐weighted voltage deviations using particle swarm optimization method. Different disturbances have been applied to verify the developed ES model accuracy including sudden changes in renewable source current and load variations. An experimental analysis is also performed with the detailed non‐linear switching model of the ES to verify its behaviour with that of the proposed averaged model. The characteristics and performance of ES are thoroughly investigated. The effectiveness of the developed model and the proposed controller design approach is demonstrated in terms of a significant improvement in the dynamic performance of the distribution system