International Journal of Power and Energy Conversion
Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.
Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.
Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.
Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.
Articles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
International Journal of Power and Energy Conversion (4 papers in press)
Power Quality Analysis of Low Voltage Distributed Generators in Standalone and Grid connected modes by Rinchin Mosobi Abstract: In this paper, the power quality (PQ) issues of renewable energy (RE) based low voltage distributed generators (DG) in both standalone and distribution grid modes are studied and remedial measures are suggested. The DG consisting of a photovoltaic system (PVS), a wind energy generating system (WEGS) and a micro-hydro generating system (MHGS) are integrated and coupled to a common dc bus. In standalone mode, the DG units are connected to the point of common coupling (PCC) at rated voltage and frequency through an interfacing inverter. A dynamic voltage restorer (DVR) is employed to mitigate the PQ problems caused by switching in non-linear loads. While the DVR is capacitor supported in standalone mode, the DG support the dc link voltage of DVR when connected to LV distribution grid. The complete system is modeled in MATLAB/Simulink environment. Comprehensive simulation results of the proposed scheme along with harmonic analyses are presented Keywords: Renewable Energy; Distributed Generator; Power Quality; DVR; Non-Linear loads.
Robust Design of High Performance Controller for Transient Stability Enhancement of Single Machine Infinite Bus Power System by Faisal R. Badal, Subrata K. Sarker Abstract: Multimachine power system consists of a large number of power
generation units to produce electrical power. The damping torque of the
synchronous machine controls the power system stability to regain equilibrium
condition. Transmission lines fault, unknown loads and uncertainties hamper the
damping torque of the synchronous machine and reduce the stability of the system.
The oscillation in power systems operation such as speed, rotor angle and terminal voltage increases due to insufficient damping torque makes unsafe operation of the power system. This paper proposes a high performance controller to damp out the oscillation of the single machine infinite bus (SMIB) power system. The controller carries the integration of linear-quadratic-Gaussian (LQG) and integral controller. The integral action having with the LQG controller makes a high gain control framework which enables the controller to provide more bandwidth. The increased bandwidth confirms the robust performance over the uncertainties. The assessment of the controller is studied by considering the SMIB power system where the controller is designed by expanding the system dynamics. The controller is implemented on the MATLAB platform and obtained results are compared with the linear-quadratic-regulator (LQR), LQG, and linear-quadratic-integral (LQI) controller to confirm the high performances. The comparison is done in terms of taking time to reach the transient response for the speed, rotor angle and terminal voltage. Besides, a level of uncertainty is intentionally added to the system dynamics to check the robust performance of the proposed controller. Keywords: Integral LQG Controller; Robust Control; Dynamic Stability; Single
Machine Infinite Bus Power System.
A Novel Optimization Method for Optimal Integration of the Hybrid Distributed Generation with FACTS Device: a Practical Case Study by Raseel Aljendy, Rinat Nasyrov, Ahmed Diab, Almoataz Abdelaziz Abstract: Renewable energy sources have been expected to be a promising alternative energy source in the future. These Renewable energy sources can bring new challenges and problems when connected to the power grid, which already suffers from power quality problems. The essential elements of the PV wind generating system are the DC-DC Boost Converter and the three-phase inverter whose role is to convert DC into AC having the same amplitude, frequency, and phase of the grid, to which it will be connected. Consequently, the injected power into an electric grid affects the power quality. The impact of the integration of renewable power plants into the electric network corresponding to the level of harmonics and its propagation, besides the initial harmonics resulting from the non-linear loads itself, has been presented in this paper. Firstly, the size of the distributed generators (DG) has been determined using Salp Swarm algorithm (SSA) in order to improve the voltage profile and reduce power losses and lack of generation. Besides, a techno-economic feasibility study of PV and wind power plant was evaluated using RETScreen program. Secondly, Active Power Filter (APF) has been used for power quality (PQ) improvement and compensation of harmonics. Moreover, a controller for APF has been designed in order to improve the voltage profile and compensate reactive power and harmonics. Accordingly, with the proposed controller, the active power filter works as D- STATCOM. Optimal parameters of APF (L-C) are determined using particle swarm optimization (PSO) in order to minimize the total harmonics distortion (THD) in the studied system. Keywords: DG units; FACTS; APF with the advanced controller; SSA optimization; PSO; power quality; RETScreen; MATLAB/ Simulink.
Multiple power quality event detection and classification using modified S-transform and WOA tuned SVM classifier by Sambit Dash, Umamani Subudhi Abstract: In this paper, a novel method for the classification of power quality events is illustrated. Fifteen types of power quality events consisting of single and multi-stage disturbances are considered for the study. A database of the synthetic PQ events is generated in MATLAB using mathematical models. The generated signals are passed through a novel modified Stockwell transform consisting of a second-order Gaussian window that provides the ST matrix. From the ST matrix, various statistical features such as energy and standard deviation of the magnitude and phase contour are extracted and given as input to support vector machine (SVM). Furthermore, to improve the performance of SVM, a novel meta-heuristic technique called whale optimisation algorithm (WOA) is used to tune the hyperparameters of the SVM classifier. The performance of the proposed method is analysed under noisy and noiseless conditions. It is observed that WOA tuned SVM provides improved classification accuracy than other widely used meta-heuristic optimisation algorithms such as particle swarm optimisation (PSO) tuned SVM and genetic algorithm (GA) tuned SVM. Further, two novel circuits for the generation of sag, swell, and interrupt are developed and the proposed technique is validated on real-time signals obtained from the circuits. Keywords: power quality; PQ; modified S-transform; MST; whale optimisation algorithm; WOA; support vector machine; SVM; classification. DOI: 10.1504/IJPEC.2021.10038988