Intelligent fuzzy-based reactive power compensation of an isolated hybrid power system

Banerjee, Abhik; Mukherjee, V.; Ghoshal, Sakti Prasad

doi:10.1016/j.ijepes.2013.11.033

Cited by 41 publications

(14 citation statements)

References 28 publications

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“…Banerjee et al [125] have developed the Seeker optimization algorithm (SOA) based controller to regulate the reactive power of an MG comprising of wind and diesel power generators. The authors have further extended their work and proposed an online reactive power compensation method for wind and diesel generator based islanded MG in [126]. The tunable variables of the studied model were optimized by the Opposition-based gravitational search algorithm (OGSA).…”

Section: Modern Si-based Optimization Techniques In Power Qualitmentioning

confidence: 99%

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review

et al. 2020

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The increasing penetration of Microgrids (MGs) into existing power systems and ''plug and play'' capability of Distributed Generators (DGs) causes large overshoots and settling times along with various power quality issues such as voltage and frequency flickers, current harmonics and short current transients. In this context, over the past few years, considerable research has been undertaken to investigate and address the mentioned issues using different control schemes in conjunction with soft computational techniques. The recent trends and advancements in the field of Artificial Intelligence (AI) have led the development of Swarm Intelligence (SI) based optimized controllers for smooth Renewable Energy Sources (RES) penetration and optimal voltage, frequency, and power-sharing regulation. Moreover, the recent studies have proved that the SI-based controllers provide enhanced dynamic response, optimized power quality and improved the dynamic stability of the MG systems as compared to the conventional control methods. Their importance in modern AC MG architectures can be judged from the growing number of publications in the recent past. However, literature, pertaining to SI applications to AC MG, is scattered with no comprehensive review on this significant development. As such, this study provides an overview of 15 different SI optimization techniques as applied to AC MG controls from 43 research publications including a detailed review of one of the elementary and most widely used SI based metaheuristic optimization algorithms called Particle Swarm Optimization (PSO) algorithm. This comprehensive review provides a valuable one-stop source of knowledge for the researchers and experts working on SI controller's applications for AC MG dynamic response and power quality improvements.

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Section: Modern Si-based Optimization Techniques In Power Qualitmentioning

confidence: 99%

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review

et al. 2020

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“…The values of these three performance indices are calculated at the end of the developed program. Power system configuration, having the least value of all these three performance indices, is considered as the best system configuration [38] and these three performance indices are defined by (18)-(20) …”

Section: Measure Of Performancementioning

confidence: 99%

“…This may be achieved when minimised overshot (M p ), minimised settling time (t s ), lesser rising time (t r ) and lesser steady state error (E ss )o f deviation in frequency and power response profiles are achieved. To measure all these attributes, a time domain fitness function (called as FOD) is considered and is given by (17) [38].…”

Section: Ces Modellingmentioning

confidence: 99%

Quasi‐oppositional harmony search algorithm and fuzzy logic controller for load frequency stabilisation of an isolated hybrid power system

Mahto

Mukherjee

2015

IET Generation, Transmission & Distribution

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The studied isolated hybrid distributed generation (IHDG) model of this paper consists of a wind turbine generator and a diesel engine generator. This work presents a study for improving both frequency and power deviation profiles of the studied IHDG model with the help of capacitive energy storage (CES) unit. A novel derivative-free meta-heuristic method, termed as quasi-oppositional harmony search (QOHS) algorithm, is applied to determine the optimal frequency and power deviation responses by tuning the tunable parameters of the studied IHDG model. The two fuzzy logic controllers (FLCs) are used (one at diesel unit and the other at wind generator side) to generate the output levelling frequency and power command. Each fuzzy control has two inputs, either frequency or power deviation and their respective derivatives. The two proposed FLCs are designed with QOHS algorithm for the studied CES equipped IHDG model. Performance study of the model has been carried out under different perturbation conditions. The results presented in this study demonstrate that minimum frequency and power deviations have been achieved by using the two proposed FLCs for the CES equipped studied IHDG model.

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“…A power system with a particular ESS that has the least value of all these four performance indices is considered to have the best power system configuration [31]. These four system performance indices are defined in (24)- (27), in order…”

Section: System Performance Indicesmentioning

confidence: 99%

Energy storage systems for mitigating the variability of isolated hybrid power system

Mahto

Mukherjee

2015

Renewable and Sustainable Energy Reviews

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Intelligent fuzzy-based reactive power compensation of an isolated hybrid power system

Cited by 41 publications

References 28 publications

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review

Swarm Intelligence-Based Optimization Techniques for Dynamic Response and Power Quality Enhancement of AC Microgrids: A Comprehensive Review

Quasi‐oppositional harmony search algorithm and fuzzy logic controller for load frequency stabilisation of an isolated hybrid power system

Energy storage systems for mitigating the variability of isolated hybrid power system

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