Review of Recent Trends in Optimization Techniques for Hybrid Renewable Energy System

Khan, Mohammad Junaid

doi:10.1007/s11831-020-09424-2

Cited by 17 publications

(3 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Amongst the various AI-based optimization techniques, MHAs have proven their accuracy and higher computation efficiency when compared with the other conventional optimization techniques [7]. Therefore, MHAs have been adopted to get the optimum solutions for several engineering problems such as power systems problems, as presented in [95][96][97][98][99][100][101][102][103][104]. Besides, depending on the no freelunch theory [105], many researchers have utilized various algorithms for accurate and effective investigation of the polarization characteristics of the PEMFC, as reported in [5,7,16,57].…”

Section: Mhas For Pemfc's Model Parameters Identificationmentioning

confidence: 99%

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

Ashraf

Abdellatif

Elkholy

et al. 2022

Arch Computat Methods Eng

View full text Add to dashboard Cite

For the sake of precise simulation, and proper controlling of the performance of the proton exchange membrane fuel cells (PEMFCs) generating systems, robust and neat mathematical modelling is crucially needed. Principally, the robustness and precision of modelling strategy depend on the accurate identification of PEMFC’s uncertain parameters. Hence, in the last decade, with the noteworthy computational development, plenty of meta-heuristic algorithms (MHAs) are applied to tackle such problem, which have attained very positive results. Thus, this review paper aims at announcing novel inclusive survey of the most up-to-date MHAs that are utilized for PEMFCs stack’s parameter identifications. More specifically, these MHAs are categorized into swarm-based, nature-based, physics-based and evolutionary-based. In which, more than 350 articles are allocated to attain the same goal and among them only 167 papers are addressed in this effort. Definitely, 15 swarm-based, 7 nature-based, 6 physics-based, 2 evolutionary-based and 4 others-based approaches are touched with comprehensive illustrations. Wherein, an overall summary is undertaken to methodically guide the reader to comprehend the main features of these algorithms. Therefore, the reader can systematically utilize these techniques to investigate PEMFCs’ parameter estimation. In addition, various categories of PEMFC’s models, several assessment criteria and many PEMFC commercial types are also thoroughly covered. In addition to that, 27 models are gathered and summarized in an attractive manner. Eventually, some insights and suggestions are presented in the conclusion for future research and for further room of improvements and investigations.

show abstract

Section: Mhas For Pemfc's Model Parameters Identificationmentioning

confidence: 99%

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

Ashraf

Abdellatif

Elkholy

et al. 2022

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…Usually (3) bulk PV stations are equipped with maximum power point tracking (MPPT) techniques [63]. A comprehensive survey of MPPT techniques for PV is introduced in [64,65], and PV mathematical modelling are surveyed in [66,67]. In [68], the authors demonstrate the equivalent linearized dynamic model of a high penetration of PV energy integrated with multi-machine power system.…”

Section: Modeling Of Pvmentioning

confidence: 99%

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

El-Bahay

Lotfy

El‐Hameed

2022

Arch Computat Methods Eng

View full text Add to dashboard Cite

Depletion of fossil fuel, global warming, and their environmental pollution clarify the importance of renewable energy sources (RESs). However, high penetration of RESs decreases power systems inertia, hence, the system becomes more sensitive to disturbances. This results in problems with frequency control because it increases the rate of change of frequency and may lead to load shedding or tripping of generating units. This paper aims at introducing a comprehensive survey of the effects of the increase in RESs on power system inertia and frequency. Different models of wind-driven and photovoltaic systems used for frequency control studies have been introduced. The up-to-date effective frequency regulation methods which can be used with highly RESs penetrated power systems have been revised and compared. These methods include virtual inertia-based methods depending on energy storage devices, de-loading of renewable energy sources, various inertial response techniques and demand response at load section including under frequency load shedding and electric vehicles. Extensive comparisons among these methods have been carried to guide power system designers, operators, researchers and grid codes taskforces in proper incorporation of RESs for frequency regulation of power systems.

show abstract

“…To avoid curtailment issues of renewable resources, Khan 21 analyzed the different maximum power point tracker (MPPT) techniques of various renewable power generation systems and the hybrid systems for getting maximum power all the time. Here, perturb and observe algorithm (P&O), particle swarm optimization, genetic algorithm, global MPPT incremental conductance, fuzzy logic, neural network, adaptive neuro-fuzzy interface system, etc.…”

Section: Introductionmentioning

confidence: 99%

A systematic literature review on hybrid energy system

Das

Nandi

Mandal

et al. 2022

Energy & Environment

View full text Add to dashboard Cite

Generation of energy has to increase due to society's demand escalation. However, generation from conventional sources is one of the major reasons for greenhouse gas emission, which is a key reason for global warming and climate change issues. To mitigate the emission of greenhouse gas and to protect the environment from pollution, renewable energy sources (RESs) are the one and only effective solution till date. To reduce the fluctuation of RESs on energy generation, a RES-based hybrid system is an innocuous solution. Here, a brief discussion of hybrid systems and their opportunities are presented and reviewed the role of the different combinations of renewable energy-based hybrid systems to reduce environmental pollution, generation costs, improve efficiency, and achieve a continuous power output of the system. A discussion is made on the importance of the site selection and the importance of different kinds of storage systems for energy generation. Result of article gives a brief idea regarding different factors to design future hybrid energy system (HES).

show abstract

Review of Recent Trends in Optimization Techniques for Hybrid Renewable Energy System

Cited by 17 publications

References 81 publications

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

Computational Techniques Based on Artificial Intelligence for Extracting Optimal Parameters of PEMFCs: Survey and Insights

Computational Methods to Mitigate the Effect of High Penetration of Renewable Energy Sources on Power System Frequency Regulation: A Comprehensive Review

A systematic literature review on hybrid energy system

Contact Info

Product

Resources

About