Example of International Journal of Power and Energy Conversion format
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Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format
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Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format Example of International Journal of Power and Energy Conversion format
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open access Open Access

International Journal of Power and Energy Conversion — Template for authors

Categories Rank Trend in last 3 yrs
Energy Engineering and Power Technology #158 of 224 down down by 1 rank
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 83 Published Papers | 90 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 24/06/2020
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Related Journals

open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 10.1
SJR: 1.57
SNIP: 2.33
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Springer

Quality:  
High
CiteRatio: 7.8
SJR: 1.078
SNIP: 1.745
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Springer

Quality:  
High
CiteRatio: 16.1
SJR: 2.831
SNIP: 5.451
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IEEE

Quality:  
High
CiteRatio: 10.2
SJR: 1.57
SNIP: 2.537

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.1

10% from 2019

CiteRatio for International Journal of Power and Energy Conversion from 2016 - 2020
Year Value
2020 1.1
2019 1.0
2018 0.6
2017 0.4
2016 0.3
graph view Graph view
table view Table view

0.169

10% from 2019

SJR for International Journal of Power and Energy Conversion from 2016 - 2020
Year Value
2020 0.169
2019 0.153
2018 0.164
2017 0.132
2016 0.131
graph view Graph view
table view Table view

0.444

20% from 2019

SNIP for International Journal of Power and Energy Conversion from 2016 - 2020
Year Value
2020 0.444
2019 0.371
2018 0.327
2017 0.058
2016 0.045
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 10% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has increased by 10% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 20% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Power and Energy Conversion

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Inderscience Publishers

International Journal of Power and Energy Conversion

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Power and Energy Conversion formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 23 Jun 2020 and has been used by 665 authors to write and format their manuscripts to this journal.

i
Last updated on
23 Jun 2020
i
ISSN
1757-1154
i
Impact Factor
Low - 0.42
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
i
Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJPEC.2019.10018720
Uncertainty cost functions for solar photovoltaic generation, wind energy generation, and plug-in electric vehicles: mathematical expected value and verification by Monte Carlo simulation
Juan Camilo Arevalo1, Fabian Santos1, Sergio Rivera1

Abstract:

Electrical power systems which incorporate solar or wind energy sources, or electric vehicles, must deal with the uncertainty about the availability of injected or demanded power. This creates uncertainty costs to be considered in stochastic economic dispatch models. The estimation of these costs is important for proper manag... Electrical power systems which incorporate solar or wind energy sources, or electric vehicles, must deal with the uncertainty about the availability of injected or demanded power. This creates uncertainty costs to be considered in stochastic economic dispatch models. The estimation of these costs is important for proper management of energy resources and accurate allocation of the amount of energy available for the system. In this paper, analytical formulas of uncertainty penalty costs are calculated, for solar and wind energy and for electric vehicles, through a mathematical expected value formulation. In order to get the proposed uncertainty cost functions, probability distribution functions (PDF) of the energy primary sources are considered, that is to say: log-normal distribution for solar irradiance PDF, Rayleigh distribution for wind speed PDF and normal distribution for loading and unloading behaviour PDF of electric vehicles. The analytical formulation is verified through Monte Carlo simulations. read more read less

Topics:

Wind power (61%)61% related to the paper, Photovoltaic system (57%)57% related to the paper, Electric power system (56%)56% related to the paper, Economic dispatch (55%)55% related to the paper, Monte Carlo method (54%)54% related to the paper
28 Citations
Journal Article DOI: 10.1504/IJPEC.2020.10027810
Optimal design of battery charge management controller for hybrid system PV/wind cell with storage battery
Mohamed Ismail1, Ahmed F. Bendary1, Mahmoud Elsisi2

Abstract:

The renewable energy sources (RES) became a fundamental necessity to the majority of electric systems and also the isolated systems like the water pumping and petroleum excavators systems. The RES typically required energy storage system because of variations in the power during the day. Because of increment popular of utilis... The renewable energy sources (RES) became a fundamental necessity to the majority of electric systems and also the isolated systems like the water pumping and petroleum excavators systems. The RES typically required energy storage system because of variations in the power during the day. Because of increment popular of utilising batteries, the charging and discharging procedure of battery system should have been well managed through an adaptive controlled system. In this paper, a standalone power system utilising photovoltaic, wind energy and batteries are contributed in providing the required load. The charging balance of batteries is accomplished by utilising a new hybrid genetic algorithm (GA)-based proportional integral (PI) controller with adaptive neuro-fuzzy inference system (ANFIS). This new hybrid GA-based PI with ANFIS control method is compared with the GA-based PI controller and the conventional PI controller based on Ziegler Nichols (ZN) technique. Dynamic simulations exhibit the right performance of the hybrid GA-based PI with ANFIS control for the proposed power system under study and the better performance than the GA-based PI controller and ZN-based PI controller. read more read less

Topics:

Control theory (56%)56% related to the paper, PID controller (55%)55% related to the paper, Battery (electricity) (53%)53% related to the paper, Hybrid system (53%)53% related to the paper, Electric power system (53%)53% related to the paper
19 Citations
Journal Article DOI: 10.1504/IJPEC.2014.059983
Oppositional biogeography-based optimisation for optimal power flow
Provas Kumar Roy1, Dharmadas Mandal

Abstract:

This paper describes optimal power flow based on oppositional biogeography-based optimisation (OBBO) in which fuel cost, voltage deviation and power transmission loss functions are individually used as the problem objectives. The feasibility of the proposed method is exhibited for standard IEEE 30-bus and IEEE 118-bus systems... This paper describes optimal power flow based on oppositional biogeography-based optimisation (OBBO) in which fuel cost, voltage deviation and power transmission loss functions are individually used as the problem objectives. The feasibility of the proposed method is exhibited for standard IEEE 30-bus and IEEE 118-bus systems and the results obtained by using the proposed approach are compared with other optimisation methods. The proposed OBBO provides results better than other heuristic techniques. The results also show that OBBO has the effectiveness and potential to solve both small and large scale OPF problems. read more read less
19 Citations
Journal Article DOI: 10.1504/IJPEC.2016.10000395
Oppositional biogeography-based optimisation applied to SMES and TCSC-based load frequency control with generation rate constraints and time delay
Dipayan Guha1, Provas Kumar Roy2, Subrata Banerjee3

Abstract:

This article introduces biogeography-based optimisation (BBO) and oppositional BBO for solving load frequency control (LFC) in power system. Two widely employed test systems, viz. two-area multi-unit thermal-thermal and three-area thermal power plant, are considered for analysis. To make the study realistic, inherent power sy... This article introduces biogeography-based optimisation (BBO) and oppositional BBO for solving load frequency control (LFC) in power system. Two widely employed test systems, viz. two-area multi-unit thermal-thermal and three-area thermal power plant, are considered for analysis. To make the study realistic, inherent power system nonlinearities like time delay, generation rate constraint and reheater are included. 2nd order Pade approximation is used to find linear model of time delay. To provide additional damping to frequency and tie-line power oscillations caused by sudden load perturbation, optimal thyristor controlled series compensator (TCSC) and superconducting magnetic energy storage (SMES) are design in coordination to LFC for the concerned power systems. An extensive comparative analysis is performed to established superiority of proposed method over other recently published algorithms. Simulation results show that coordinated LFC-TCSC-SMES controller yields greater dynamic performance compared to other. Finally, sensitivity analysis is performed to demonstrate the robustness of the proposed controller. read more read less

Topics:

Automatic Generation Control (60%)60% related to the paper, Electric power system (55%)55% related to the paper, Automatic frequency control (51%)51% related to the paper, Robust control (50%)50% related to the paper
16 Citations
Journal Article DOI: 10.1504/IJPEC.2016.076521
Analysis of voltage build-up and speed disturbance ride through capability of a self-excited induction generator for renewable energy application
Mohd. Faisal Khan1, Mohd Rizwan Khan1

Abstract:

Response of a self-excited induction generator (SEIG) to transient change in input speed as well as no-load voltage build-up is crucial for its steady operation. These two aspects often find very limited mention in the reported work on SEIGs. In this paper, dynamic model of a standalone self-excited induction generator (SEIG)... Response of a self-excited induction generator (SEIG) to transient change in input speed as well as no-load voltage build-up is crucial for its steady operation. These two aspects often find very limited mention in the reported work on SEIGs. In this paper, dynamic model of a standalone self-excited induction generator (SEIG) in short shunt compensation connection is developed. The developed model is utilised to investigate inception of self-excitation and voltage build-up with regard to different preconditions. The ride through capability of SEIG subjected to sudden drop in prime mover speed at no-load and the full-load of different power factors is evaluated. The results provide detailed and important insights of SEIG behaviour under such transient conditions. Finally, the load performance of SEIG is carried out with different step loads of unity and 0.8 lagging power factors to evaluate complete dynamics of the machine. The analytical model of SEIG is developed in MATLAB/Simulink. Experimental verification of results is done through an implemented three-phase, 1.5 KW SEIG. read more read less

Topics:

Induction generator (57%)57% related to the paper, Prime mover (51%)51% related to the paper
13 Citations
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Frequently asked questions

1. Can I write International Journal of Power and Energy Conversion in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the International Journal of Power and Energy Conversion guidelines and auto format it.

2. Do you follow the International Journal of Power and Energy Conversion guidelines?

Yes, the template is compliant with the International Journal of Power and Energy Conversion guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in International Journal of Power and Energy Conversion?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Power and Energy Conversion citation style.

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Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Power and Energy Conversion that you can download at the end.

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12. Is International Journal of Power and Energy Conversion's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Power and Energy Conversion?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Power and Energy Conversion. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Power and Energy Conversion?

The 5 most common citation types in order of usage for International Journal of Power and Energy Conversion are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download International Journal of Power and Energy Conversion in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Power and Energy Conversion Endnote style according to Elsevier guidelines.

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