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Applied Sciences
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Advances in Power Flow Analysis of Power System
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Advances in Power Flow Analysis of Power System

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 5890

Special Issue Editors

Dr. Eduardo Miguel Teixeira Mendonça Gouveia

E-Mail Website
Guest Editor
Polytechnic of Viseu, CISeD – Research Centre in Digital Services, Polytechnic of Viseu, 3504-510 Viseu, Portugal
Interests: power systems reliability and planning; operating reserves of power systems; power flow; fuzzy power flow; transmission network adequacy evaluation; uncertainties at power systems modeling power quality
Prof. Dr. Adelino J. C. Pereira

E-Mail Website
Guest Editor
1. Polytechnic of Coimbra, Coimbra Institute of Engineering, Department of Electrical Engineering, 3030-199 Coimbra, Portugal
2. INESC Coimbra – Institute for Systems Engineering and Computers at Coimbra, Coimbra, Portugal
Interests: power systems analysis and simulation; power system reliability; power generation expansion planning; sustainability; distributed generation; renewable energy; electricity markets
Prof. Dr. Rita Manuela Monteiro Pereira

E-Mail Website
Guest Editor
1. Department of Electrical Engineering, Polytechnic of Coimbra, Coimbra Institute of Engineering, 3030-199 Coimbra, Portugal
2. INESC Coimbra – Institute for Systems Engineering and Computers at Coimbra, Coimbra, Portugal
Interests: dynamic voltage stability; influence of a wind farm in the dynamic voltage stability of a power network; wind turbines; power quality; renewable energy systems; distributed generation; electrical installations
Prof. Dr. Fernando Pires Maciel Barbosa

E-Mail Website
Guest Editor
1. Engineering Faculty, Oporto University, 4099-002 Porto, Portugal
2. Inesc Tec-INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Porto, Portugal
Interests: electric power system reliability; power system stability; power system analysis and distributed generation

Special Issue Information

Dear Colleagues,

It is our pleasure to present a Special Issue of Applied Sciences on "Advances in Power Flow Analysis of Power System", and to invite concerned authors to upload original contributions on the correlated topics.

Outstanding to the restructuring of electric sector, generation and commercialization activities became market activities, whereas transmission and distribution activities persist as regulated monopolies. Accordingly, in each country, the regulators have established rules concerning the adequacy of the transmission systems. The delineation of these rules has been a hard task since there are many agents operating in the electricity system. At generation, one can find large power plants as well as special producers (cogeneration facilities, photovoltaic power plants, wind farms, small hydro power plants). The distributed generation, manly connected to the MV networks, has stretched its effect to the LV distribution networks. In addition to the type of classical loads, electric vehicles (EV) are an emergent kind of loads, that start to have expression, connected to electric greed, influencing the operation of transmission systems. All this contributes for the emergence of new uncertainty sources inside the electric systems, which must be accounted in the analysis of power systems. In this framework, power flow calculations are one of the most significant and capable tools for power system planning and operation. The existence of such uncertainties has led, over the time, to the development of power flow models that are able to account for the existent uncertainties such as the probabilistic power flow (PPF) or the fuzzy power flow (FPF). The study of power flow also is necessary for further analysis such transient stability, dynamic stability or emergency states. Considering the current challenges imposed to the electrical power system, it is important to check the advances in power flow analysis of power systems.

Dr. Eduardo Miguel Teixeira Mendonça Gouveia
Prof. Dr. Adelino J. C. Pereira
Prof. Dr. Rita Manuela Monteiro Pereira
Prof. Dr. Fernando Pires Maciel Barbosa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • slack bus treatment under uncertainty
  • probabilistic power flow
  • fuzzy power flow
  • optimal power flow
  • DC and AC power flow techniques
  • convergence properties and computing efficiency
  • transmission system planning under uncertainty
  • reserve planning
  • security-constrained stochastic scheduling
  • contingency and security analysis
  • smart grids
  • impacts of disperse generation at power systems
  • impacts of EV at transmission and distribution systems
  • generation expansion planning under uncertainty
  • power flow in electricity market

Published Papers (3 papers)

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Research

37 pages, 4016 KiB  
Article
A Many-Objective Marine Predators Algorithm for Solving Many-Objective Optimal Power Flow Problem
by Sirote Khunkitti, Apirat Siritaratiwat and Suttichai Premrudeepreechacharn
Appl. Sci. 2022, 12(22), 11829; https://0-doi-org.brum.beds.ac.uk/10.3390/app122211829 - 21 Nov 2022
Cited by 10 | Viewed by 1539
Abstract
Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern power system management and operation. Solutions to the many-objective OPF (more [...] Read more.
Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern power system management and operation. Solutions to the many-objective OPF (more than three objectives) problems are necessary to meet modern power-system requirements, and an efficient optimization algorithm is needed to solve the problems. This paper presents a many-objective marine predators algorithm (MaMPA) for solving single-objective OPF (SOOPF), multi-objective OPF (MOOPF), and many-objective OPF (MaOPF) problems as this algorithm has been widely used to solve other different problems with many successes, except for MaOPF problems. The marine predators algorithm (MPA) itself cannot solve multi- or many-objective optimization problems, so the non-dominated sorting, crowding mechanism, and leader mechanism are applied to the MPA in this work. The considered objective functions include cost, emission, transmission loss, and voltage stability index (VSI), and the IEEE 30- and 118-bus systems are tested to evaluate the algorithm performance. The results of the SOOPF problem provided by MaMPA are found to be better than various algorithms in the literature where the provided cost of MaMPA is more than that of the compared algorithms for more than 1000 USD/h in the IEEE 118-bus system. The statistical results of MaMPA are investigated and express very high consistency with a very low standard deviation. The Pareto fronts and best-compromised solutions generated by MaMPA for MOOPF and MaOPF problems are compared with various algorithms based on the hypervolume indicator and show superiority over the compared algorithms, especially in the large system. The best-compromised solution of MaMPA for the MaOPF problem is found to be greater than the compared algorithms around 4.30 to 85.23% for the considered objectives in the IEEE 118-bus system. Full article
(This article belongs to the Special Issue Advances in Power Flow Analysis of Power System)
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31 pages, 2846 KiB  
Article
Determining Optimal Power Flow Solutions Using New Adaptive Gaussian TLBO Method
by Abdulaziz Alanazi, Mohana Alanazi, Zulfiqar Ali Memon and Amir Mosavi
Appl. Sci. 2022, 12(16), 7959; https://0-doi-org.brum.beds.ac.uk/10.3390/app12167959 - 09 Aug 2022
Cited by 11 | Viewed by 1768
Abstract
A key component of the design and operation of power transmission systems is the optimal power flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives of the program are to minimize fuel costs, reduce emissions, improve [...] Read more.
A key component of the design and operation of power transmission systems is the optimal power flow (OPF) problem. To solve this problem, several optimization algorithms have been developed. The primary objectives of the program are to minimize fuel costs, reduce emissions, improve voltage profiles, and reduce power losses. OPF is considered one of the most challenging optimization problems due to its nonconvexity and significant computational difficulty. Teaching–learning-based optimization (TLBO) is an optimization algorithm that can be used to solve engineering problems. Although the method has certain advantages, it does have one significant disadvantage: after several iterations, it becomes stuck in the local optimum. The purpose of this paper is to present a novel adaptive Gaussian TLBO (AGTLBO) that solves the problem and improves the performance of conventional TLBO. Validating the performance of the proposed algorithm is undertaken using test systems for IEEE standards 30-bus, 57-bus, and 118-bus. Twelve different scenarios have been tested to evaluate the algorithm. The results show that the proposed AGTLBO is evidently more efficient and effective when compared to other optimization algorithms published in the literature. Full article
(This article belongs to the Special Issue Advances in Power Flow Analysis of Power System)
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15 pages, 6918 KiB  
Article
A Common Framework for Developing Robust Power-Flow Methods with High Convergence Rate
by Marcos Tostado-Véliz, Salah Kamel, Antonio Escamez, David Vera and Francisco Jurado
Appl. Sci. 2021, 11(13), 6147; https://0-doi-org.brum.beds.ac.uk/10.3390/app11136147 - 01 Jul 2021
Viewed by 1303
Abstract
This paper presents a novel Power-Flow solution paradigm based on the structure of the members of the Runge–Kutta family. Solution approaches based on the introduced solution paradigm are intrinsically robust and can achieve high-order convergences rates. It is demonstrated that some well-known Power-Flow [...] Read more.
This paper presents a novel Power-Flow solution paradigm based on the structure of the members of the Runge–Kutta family. Solution approaches based on the introduced solution paradigm are intrinsically robust and can achieve high-order convergences rates. It is demonstrated that some well-known Power-Flow solution methods are in fact special cases of the developed framework. Explicit and embedded formulations are discussed, and two novel solution methodologies based on the Explicit Heun and Embedded Heun–Euler’s methods are developed. The introduced solution techniques are validated in the EU PEGASE systems, considering different starting points and loading levels. Results show that the developed methods are quite reliable and efficient, outperforming other robust and standard methodologies. On the basis of the results obtained, we can affirm that the introduced solution paradigm constitutes a promising framework for developing novel Power-Flow solution techniques. Full article
(This article belongs to the Special Issue Advances in Power Flow Analysis of Power System)
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