Example of Electric Power Components and Systems format
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Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format Example of Electric Power Components and Systems format
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open access Open Access

Electric Power Components and Systems — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Mechanical Engineering #288 of 596 down down by 104 ranks
Energy Engineering and Power Technology #113 of 224 down down by 42 ranks
Electrical and Electronic Engineering #362 of 693 down down by 108 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 615 Published Papers | 1425 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 22/06/2020
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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: 16.1
SJR: 2.831
SNIP: 5.451
open access Open Access
recommended Recommended

IEEE

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

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

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

0.824

7% from 2018

Impact factor for Electric Power Components and Systems from 2016 - 2019
Year Value
2019 0.824
2018 0.888
2017 1.144
2016 1.22
graph view Graph view
table view Table view

2.3

5% from 2019

CiteRatio for Electric Power Components and Systems from 2016 - 2020
Year Value
2020 2.3
2019 2.2
2018 2.7
2017 2.5
2016 2.2
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 7% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 5% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

0.273

11% from 2019

SJR for Electric Power Components and Systems from 2016 - 2020
Year Value
2020 0.273
2019 0.307
2018 0.345
2017 0.373
2016 0.384
graph view Graph view
table view Table view

0.588

15% from 2019

SNIP for Electric Power Components and Systems from 2016 - 2020
Year Value
2020 0.588
2019 0.51
2018 0.597
2017 0.7
2016 0.779
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 11% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 15% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Electric Power Components and Systems

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Taylor and Francis

Electric Power Components and Systems

This well-established journal publishes original theoretical and applied papers of permanent reference value related to the broad field of electromechanics, electric machines, and power systems. Specific topics covered include: rotating electric machines - new methods of analy...... Read More

Engineering

i
Last updated on
22 Jun 2020
i
ISSN
1532-5008
i
Impact Factor
Medium - 0.761
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
Taylor and Francis Custom Citation
i
Citation Type
Numbered
[25]
i
Bibliography Example
Blonder, G. E., Tinkham, M., and Klapwijk, T. M., “Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion,” Phys. Rev. B, Vol. 25, No. 7, pp. 4515–4532, 1982.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1080/15325000252888425
Optimal Power Flow Using Tabu Search Algorithm

Abstract:

This paper presents an efficient and reliable tabu search (TS)-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs TS algorithm for optimal settings of the control variables of the OPF problem. Incorporation of TS as a derivative-free optimization technique in solving OPF problem signif... This paper presents an efficient and reliable tabu search (TS)-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs TS algorithm for optimal settings of the control variables of the OPF problem. Incorporation of TS as a derivative-free optimization technique in solving OPF problem significantly reduces the computational burden. One of the main advantages of TS algorithm is its robustness to its own parameter settings as well as the initial solution. In addition, TS is characterized by its ability to avoid entrapment in local optimal solution and prevent cycling by using flexible memory of search history. The proposed approach has been examined on the standard IEEE 30-bus test system with different objectives and generator cost curves. The results are promising and show the effectiveness and robustness of the proposed approach. read more read less

Topics:

Tabu search (59%)59% related to the paper, Combinatorial optimization (52%)52% related to the paper, Robustness (computer science) (51%)51% related to the paper
362 Citations
Journal Article DOI: 10.1080/15325008.2015.1041625
Single and Multi-objective Optimal Power Flow Using Grey Wolf Optimizer and Differential Evolution Algorithms
Attia A. El-Fergany1, Hany M. Hasanien2

Abstract:

This article applies the grey wolf optimizer and differential evolution (DE) algorithms to solve the optimal power flow (OPF) problem. Both algorithms are used to optimize single objective functions sequentially under the system constraints. Then, the DE algorithm is utilized to solve multi-objective OPF problems. The indicat... This article applies the grey wolf optimizer and differential evolution (DE) algorithms to solve the optimal power flow (OPF) problem. Both algorithms are used to optimize single objective functions sequentially under the system constraints. Then, the DE algorithm is utilized to solve multi-objective OPF problems. The indicator of the static line stability index is incorporated into the OPF problem. The fuzzy-based Pareto front method is tested to find the best compromise point of multi-objective functions. The proposed algorithms are used to determine the optimal values of the continuous and discrete control variables. These algorithms are applied to the standard IEEE 30-bus and 118-bus systems with different scenarios. The simulation results are investigated and analyzed. The achieved results show the effectiveness of the proposed algorithms in comparison with the other recent heuristic algorithms in the literature. read more read less

Topics:

Multi-objective optimization (54%)54% related to the paper, Differential evolution (54%)54% related to the paper, Heuristic (computer science) (53%)53% related to the paper
217 Citations
Journal Article DOI: 10.1080/15325000500360843
Simulated Annealing Technique for Dynamic Economic Dispatch
Chinmoy Kumar Panigrahi1, P. K. Chattopadhyay1, R. Chakrabarti1, Mousumi Basu1

Abstract:

Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper pr... Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper presents DED based on a simulated annealing (SA) technique for the determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve point loading, ramp constraints, and network losses using loss coefficients are incorporated. Numerical results for a sample test system have been presented to demonstrate the performance and applicability of the proposed method. read more read less

Topics:

Economic dispatch (65%)65% related to the paper, Simulated annealing (57%)57% related to the paper, Electric power system (50%)50% related to the paper
213 Citations
Journal Article DOI: 10.1080/15325000290085343
Optimal Power Flow Using Refined Genetic Algorithm

Abstract:

This article presents a simple, effective, and reliable refined genetic algorithm (RGA) for solving the optimal power flow (OPF) problem. This genetic algorithm with the exponential variation of crossover probability, mutation probability, anddynamic hierarchy of the coding system has the ability to code a large number of con... This article presents a simple, effective, and reliable refined genetic algorithm (RGA) for solving the optimal power flow (OPF) problem. This genetic algorithm with the exponential variation of crossover probability, mutation probability, anddynamic hierarchy of the coding system has the ability to code a large number of control variables in a practical system, within a reasonable length of chromosome, and the algorithm is less sensitive to starting points. It is, therefore, able to regulate the active power outputs of generators, bus voltages, shunt capacitors/reactors, and transformer tap-settings to minimize the fuel cost. The feasibility of the algorithm is demonstrated using the IEEE 6-bus and 30-bus systems. read more read less

Topics:

Crossover (56%)56% related to the paper, AC power (54%)54% related to the paper
208 Citations
Journal Article DOI: 10.1080/15325000903273403
Optimal Sizing of Distributed Generation Placed on Radial Distribution Systems
T. N. Shukla1, Shiv P. Singh2, V. Srinivasarao2, K. B. Naik

Abstract:

Distribution network planning identifies the least cost network investment that satisfies load growth requirements without violating any system and operational constraints. Power injections from distributed generation change network power flows, modifying energy losses. Determining appropriate location and optimal size of dis... Distribution network planning identifies the least cost network investment that satisfies load growth requirements without violating any system and operational constraints. Power injections from distributed generation change network power flows, modifying energy losses. Determining appropriate location and optimal size of distributed generation with respect to network configuration and load distribution in the feeder is main challenge in the changing regulatory and economic scenarios. Among the benefits of distributed generation is the reduction in active power losses, which can improve the system performance; reliability, and efficiency. In this article, the multi-location distributed generation placement problem aims to minimize the total active power loss of radial distribution networks using a genetic algorithm based solution algorithm. This technical benefit of energy savings due to the reduction in active power loss can also be translated into economic benefits. The loss sensitivity to the ... read more read less

Topics:

Distributed generation (61%)61% related to the paper, AC power (54%)54% related to the paper
189 Citations
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3. Can I cite my article in multiple styles in Electric Power Components and Systems?

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 Electric Power Components and Systems citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Electric Power Components and Systems.

5. Can I use a manuscript in Electric Power Components and Systems that I have written in MS Word?

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 Electric Power Components and Systems that you can download at the end.

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After writing your paper autoformatting in Electric Power Components and Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Electric Power Components and Systems'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 Electric Power Components and Systems?

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 Electric Power Components and Systems. 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 Electric Power Components and Systems?

The 5 most common citation types in order of usage for Electric Power Components and Systems are:.

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

15. How do I submit my article to the Electric Power Components and Systems?

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16. Can I download Electric Power Components and Systems 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 Electric Power Components and Systems Endnote style according to Elsevier guidelines.

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