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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Byalihal, Shankaralingappa Channappa
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Control & Systems Engineering Electrical & Electronics Engineering

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Optimal coordination of directional over current relays for distribution systems using hybrid GWO-CSA Bhemasenarao, Arathi Pothakanahalli; Byalihal, Shankaralingappa Channappa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp1276-1289

Abstract

Coordination of protective relays is a critical aspect of electrical distribution systems, ensuring effective and reliable protection against faults. In modern power systems, the integration of distributed generation (DG) sources adds complexity to the coordination task. The dynamic nature of DG systems requires adaptive relay settings that can swiftly detect and isolate faults while minimizing potential damage and downtime. The purpose of this research is to improve the coordination of directional over current relays in electrical distribution systems, particularly in DG systems. An optimization technique combining the grey wolf optimization (GWO) and cuckoo search algorithm (CSA) is developed to identify the best relay settings that reduce overall operation time while ensuring excellent fault identification and isolation. To address relay faults caused by DG integration, a suitable primary and backup relay design is chosen, and the influence of time multiplier settings (TMS) on system performance and reliability is investigated. The proposed GWO-CSA technique is evaluated and implemented on IEEE 3, 8 and 15-bus systems using MATLAB. Simulation results show that the GWO-CSA strategy outperforms well compared to previous algorithms, enabling optimal coordination and increased protection in DG systems while drastically lowering relay operating time.
Enhancement of large PV-integrated grid stability using an advanced UPQC Kalal, Vijay Kumar; Byalihal, Shankaralingappa Channappa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1184-1195

Abstract

This paper presents an enhancement to the stability of large PV-integrated grids using an advanced power quality control system. The proposed unified power quality conditioner (UPQC) system control technique combines synchronous reference frame (SRF) theory and modified unit vector template generation (MUVTG), supplemented by an additional proportional-integral-derivative (PID) controller to regulate reactive power flow to the grid. The results indicate a reduction in the total harmonic distortion (THD) levels. The study also demonstrates the system’s stability for different harmonic orders and various cases of voltage sag and swell, in compliance with IEEE standards. The proposed approach effectively addresses power quality issues and achieves a THD of 0.30%, meeting the IEEE-519 standards using MATLAB Simulink.
A novel accelerated genetic algorithm-based technique for optimal placement of multiple FACTSDEV in power systems under N-1 contingency Shankaregowda, Tanuja Koppa; Byalihal, Shankaralingappa Channappa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1376-1388

Abstract

The liberalization of the energy market has led to a surge in unforeseen power exchanges, which could jeopardize the security of the power system by overloading transmission lines. Flexible AC transmission system devices (FACTSDEV) has been developed in order to improve voltage profiles, reduce losses, and solve power system instability. However, because FACTSDEV devices have such high initial costs, careful planning and ideal placement are essential to maximizing their benefits. This paper proposes a genetic algorithm-based approach to arrange multiple FACTSDEV devices in a power system optimally under N-1 contingency conditions. The IEEE standard (IEEESTD) 14 bus network is where FACTSEDV are located using this optimization technique. The study makes use of MATLAB simulations to evaluate how different FACTSDEV and their placements affect the performance of the power system. The results of the generator and line outage simulations show how FACTDEV have an impact on generation costs, system loss components, and line loss reduction. The cost-optimized placement findings for FACTSDEVs in the IEEESTD 14 bus system are satisfactory and show an improvement in generation cost and system loss component with appropriate positioning and sizing of FACTDEVs.
Co-Authors Bhemasenarao, Arathi Pothakanahalli Kalal, Vijay Kumar Shankaregowda, Tanuja Koppa