Title: Comparative Study of Different Metaheuristic Algorithms for Designing Harmonics Estimator


Volume 11 Issue 1 Year 2021

Authors:

Dr.Akash Saxena

aakash.saxena@hotmail.com
SKIT,

Aishwarya Mehta

aishu.sharma.0786@gmail.com
SKIT,

Jitesh Jangid

jj90946@gmail.com
SKIT,

S.L. Surana

sls@skit.ac.in
,

Shalini Shekhawat

shekhawatshalini17@gmail.com

Pages: 12-18

DOI:

Abstract:

In the modern power system, the power quality issues are prominent. For dealing with power quality issues, harmonic mitigation technologies are inevitable. Hence, design of Harmonic Estimator has become more important aspect because power quality is directly related to customer satisfaction and electricity tariffs. Nature-inspired algorithms have been applied by researchers to develop harmonic estimators. In this paper, harmonic phase and amplitude components are estimated by Artificial Bee Colony (ABC), Teaching- Learning Based Opti­mization (TLBO), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA), Moth Flame Optimizer (MFO), and Atom Search Optimization (ASO). All the mentioned algorithms are tested on the two standard design problems and comparative analysis of the optimization performance of these algorithms is presented.

Keywords:


Title: Comparative Study of Different Metaheuristic Algorithms for Designing Harmonics Estimator


Volume 11 Issue 1 Year 2021

Authors:

Dr.Akash Saxena

aakash.saxena@hotmail.com
SKIT,

Aishwarya Mehta

aishu.sharma.0786@gmail.com
SKIT,

Jitesh Jangid

jj90946@gmail.com
SKIT,

S.L. Surana

sls@skit.ac.in
,

Shalini Shekhawat

shekhawatshalini17@gmail.com

Pages: 12-18

DOI:

Abstract:

In the modern power system, the power quality issues are prominent. For dealing with power quality issues, harmonic mitigation technologies are inevitable. Hence, design of Harmonic Estimator has become more important aspect because power quality is directly related to customer satisfaction and electricity tariffs. Nature-inspired algorithms have been applied by researchers to develop harmonic estimators. In this paper, harmonic phase and amplitude components are estimated by Artificial Bee Colony (ABC), Teaching- Learning Based Opti­mization (TLBO), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA), Moth Flame Optimizer (MFO), and Atom Search Optimization (ASO). All the mentioned algorithms are tested on the two standard design problems and comparative analysis of the optimization performance of these algorithms is presented.

Keywords:


Title: Comparative Study of Different Metaheuristic Algorithms for Designing Harmonics Estimator


Volume 11 Issue 1 Year 2021

Authors:

Dr.Akash Saxena

aakash.saxena@hotmail.com
SKIT,

Aishwarya Mehta

aishu.sharma.0786@gmail.com
SKIT,

Jitesh Jangid

jj90946@gmail.com
SKIT,

S.L. Surana

sls@skit.ac.in
,

Shalini Shekhawat

shekhawatshalini17@gmail.com

Pages: 12-18

DOI:

Abstract:

In the modern power system, the power quality issues are prominent. For dealing with power quality issues, harmonic mitigation technologies are inevitable. Hence, design of Harmonic Estimator has become more important aspect because power quality is directly related to customer satisfaction and electricity tariffs. Nature-inspired algorithms have been applied by researchers to develop harmonic estimators. In this paper, harmonic phase and amplitude components are estimated by Artificial Bee Colony (ABC), Teaching- Learning Based Opti­mization (TLBO), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA), Moth Flame Optimizer (MFO), and Atom Search Optimization (ASO). All the mentioned algorithms are tested on the two standard design problems and comparative analysis of the optimization performance of these algorithms is presented.

Keywords: