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Reliability analysis and power quality improvement model using enthalpy based grey wolf optimizer

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Abstract

With the modern era of a restructured power system environment, there are various power quality issues faced when it is being transferred within different utilities. To overcome these issues and deliver maximum effective power maintaining its quality in terms of Voltage Stability, Losses, distortion in the signal received etc. is the major challenge. This paper presents the enthalpy based Grey Wolf Optimisation (GWO) model and aims to solve the issues of the node voltage deviation power system, feeder power losses, power factor, and total harmonic distortion in a power system. The results of the model presented is compared with different conventional algorithms and found to be most suitable due to its simplicity, faster convergence and high search precision. The analysis of the presented method is performed on IEEE 30 and 57 test bus systems in MATLAB/SIMULINK environment. When compared with the conventional models, our proposed method shows 0.49, 0.69 and 1.41% better fitness accuracy for IEEE 30 and 3.23, 2.37 and 1.45% better for IEEE 57 than PSO, ABC and GA respectively. The proposed method has proved to be effective in terms of all the objectives stated above and attaining the maximum quality of power.

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Abbreviations

GWO:

Grey wolf optimization

TS:

Tabulated search

FACTS:

Flexible alternating current transmission system

GA:

Genetic algorithm

SA:

Simulated annealing

PSO:

Particle swarm optimization

VSM:

Voltage stability margin

EA:

Evolutionary algorithm

TCSC:

Thyristor controlled series capacitor

SVC:

Static var compensator

STATCOM:

Static synchronous compensator

UPFC:

Unified power flow controller

THD:

Total harmonic distortion

LOA:

Local optima avoidance

AWOA:

Adaptive whale optimisation algorithm

VSI:

Voltage stability index

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Authors and Affiliations

  1. High Power Electrical Laboratory, Department of Electronics and Communication Engineering, Manav Rachna University, Faridabad, HR, 121004, India

    Niharika Thakur & Y. K. Awasthi

  2. Department of Electronics and Communication Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, HR, 121004, India

    Y. K. Awasthi

  3. Department of Electrical Engineering, Jamia Millia Islamia (Central University), New Delhi, 110025, India

    A. S. Siddiqui

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  1. Niharika Thakur
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  3. A. S. Siddiqui
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Thakur, N., Awasthi, Y.K. & Siddiqui, A.S. Reliability analysis and power quality improvement model using enthalpy based grey wolf optimizer. Energy Syst 12, 31–59 (2021). https://doi.org/10.1007/s12667-020-00409-5

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