Optimization Methods Applied to Power Systems

Continuous advances in computer hardware and software are enabling researchers to address optimization solutions using computational resources, as can be seen in the large number of optimization approaches that have been applied to the energy field. Power systems are made up of extensive complex networks governed by physical laws in which unexpected and uncontrolled events can occur. This complexity has increased considerably in recent years due to the increase in distributed generation associated with increased generation capacity from renewable energy sources. Therefore, the analysis, design, and operation of current and future electrical systems require an efficient approach to different problems (like load flow, parameters and position finding, filter design, fault location, contingency analysis, system restoration after blackout, islanding detection of distributed generation, economic dispatch, unit commitment, etc.). Given the complexity of these problems, the efficient management of electrical systems requires the application of advanced optimization methods that take advantage of high-performance computer clusters. This special issue belongs to the section “Electrical Power and Energy System”. The topics of interest in this special issue include different optimization methods applied to any field related to power systems, such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, intelligent systems, advances in electric mobility, etc. The optimization methods of interest for publication include, but are not limited to:


Introduction
Continuous advances in computer hardware and software are enabling researchers to address optimization solutions using computational resources, as can be seen in the large number of optimization approaches that have been applied to the energy field.
Power systems are made up of extensive complex networks governed by physical laws in which unexpected and uncontrolled events can occur.This complexity has increased considerably in recent years due to the increase in distributed generation associated with increased generation capacity from renewable energy sources.Therefore, the analysis, design, and operation of current and future electrical systems require an efficient approach to different problems (like load flow, parameters and position finding, filter design, fault location, contingency analysis, system restoration after blackout, islanding detection of distributed generation, economic dispatch, unit commitment, etc.).Given the complexity of these problems, the efficient management of electrical systems requires the application of advanced optimization methods that take advantage of high-performance computer clusters.
This special issue belongs to the section "Electrical Power and Energy System".The topics of interest in this special issue include different optimization methods applied to any field related to power systems, such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, intelligent systems, advances in electric mobility, etc.The optimization methods of interest for publication include, but are not limited to:

Statistics of the Special Issue
The statistics of the call for papers for this special issue related to published or rejected items were: Total submissions (113), published (36; 31.8%), and rejected (77; 68.3%).
The authors' geographical distribution by countries for published papers is shown in Table 1, where it is possible to observe 144 authors from 19 different countries.Note that it is usual for an article to be signed by more than one author, and for authors to collaborate with others of different affiliation.

Authors of this Special Issue
The authors of this special issue and their main bibliometric indicators are summarized in Table 2, where they have been ordered from the highest to the lowest H-index.The novel authors, those considered with an H-index equal to zero are 29, and those of H-index equal to 1 are 27.On the other hand, the internationally recognized authors, those considered with an H-index of 10 or higher, are 31.It is remarkable that these authors (H-index ≥10), on average, have more than 123 co-authors, more than 110 documents published, and more than 1069 citations.

Analysis of Author Relationship
Figure 3 shows a graph with the authors of this special issue.Each author is a node and a different color indicates their affiliation country.If an author collaborates with another one, then a link highlights the relationship between them.The larger the size of the node, the larger the H-index of this author.As expected, there is no relationship between authors of the different manuscripts, unless they are authors who have contributed to more than one, but they were exactly the same authors.What does attract attention is that there are at least nine papers with international collaboration, i.e., between authors from different countries, and two of them are collaborations between authors from at least three different countries.

Analysis of Author Relationship
Figure 3 shows a graph with the authors of this special issue.Each author is a node and a different color indicates their affiliation country.If an author collaborates with another one, then a link highlights the relationship between them.The larger the size of the node, the larger the H-index of this author.As expected, there is no relationship between authors of the different manuscripts, unless they are authors who have contributed to more than one, but they were exactly the same authors.What does attract attention is that there are at least nine papers with international collaboration, i.e., between authors from different countries, and two of them are collaborations between authors from at least three different countries.

Analysis of Author Relationship
Figure 3 shows a graph with the authors of this special issue.Each author is a node and a different color indicates their affiliation country.If an author collaborates with another one, then a link highlights the relationship between them.The larger the size of the node, the larger the H-index of this author.As expected, there is no relationship between authors of the different manuscripts, unless they are authors who have contributed to more than one, but they were exactly the same authors.What does attract attention is that there are at least nine papers with international collaboration, i.e., between authors from different countries, and two of them are collaborations between authors from at least three different countries.

Figure 1 .
Figure 1.Cloud word of the author keywords related to the special issue.Figure 1. Cloud word of the author keywords related to the special issue.

Figure 1 .
Figure 1.Cloud word of the author keywords related to the special issue.Figure 1. Cloud word of the author keywords related to the special issue.

Figure 2 .
Figure 2. Cloud word for split author keywords related to the special issue.

Figure 2 .
Figure 2. Cloud word for split author keywords related to the special issue.

Figure 2 .
Figure 2. Cloud word for split author keywords related to the special issue.

Table 1 .
Geographic distribution by countries of authors.