Optimization Methods Applied to Power Systems
Department of Engineering, University of Almeria, ceiA3, 04120 Almeria, Spain
*
Author to whom correspondence should be addressed.
Energies 2019, 12(12), 2302; https://doi.org/10.3390/en12122302
Submission received: 6 May 2019
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Revised: 13 May 2019
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Accepted: 13 June 2019
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Published: 17 June 2019
(This article belongs to the Special Issue Optimization Methods Applied to Power Systems)
1. 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:
- Expert Systems
- Artificial Neural Networks
- Fuzzy Logic
- Genetic Algorithms
- Evolutionary Algorithms
- Simulated Annealing
- Tabu Search
- Ant Colony Optimization
- Particle Swarm Optimization
- Multi-Objective Optimization
- Parallel Computing
- Linear and Nonlinear Programming
- Integer and Mixed-Integer Programming
- Dynamic Programming
- Interior Point Methods
- Lagrangian Relaxation and Benders Decomposition-Based Methods
- General Stochastic Techniques.
2. 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.
3. 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.
4. Brief Overview of the Contributions to this Special Issue
4.1. Keyword Analysis
The analysis of the keywords identifies or summarizes the work of the researchers. This section analyses the keywords obtained from the 36 manuscripts published in this special issue [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36]. The keyword analysis of the papers of this special issue shows a wide variety of terms, reaching 135 different keywords. Figure 1 shows a cloud of words using author keywords. The most used and highlighted keywords are: Optimal power flow, genetic algorithm, optimization, particle swarm optimization, demand response, energy management, metaheuristic, and wind power. If we split the author keywords in simple words, it is possible to get Figure 2, where the highlighted words are now: Optimal, power, energy, system, and algorithm.
4.2. 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.
Conflicts of Interest
The authors declare no conflict of interest
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Figure 1.
Cloud word of the author keywords related to the special issue.
Figure 2.
Cloud word for split author keywords related to the special issue.
Figure 3.
International interconnection between authors.
Table 1.
Geographic distribution by countries of authors.
| Country | Number of Authors |
|---|---|
| China | 80 |
| Spain | 11 |
| South Korea | 9 |
| Cameroon | 5 |
| Malaysia | 5 |
| United States | 5 |
| Taiwan | 4 |
| Thailand | 4 |
| Viet Nam | 4 |
| Brazil | 3 |
| Egypt | 3 |
| Algeria | 2 |
| France | 2 |
| Russian Federation | 2 |
| Chile | 1 |
| Germany | 1 |
| Mexico | 1 |
| New Zealand | 1 |
| Singapore | 1 |
| Total | 144 |
Table 2.
Affiliations and bibliometric indicators for the authors.
| Author | Affiliation |
|---|---|
| Jurado F. | Universidad de Jaen |
| Watson N. | University of Canterbury |
| Trentesaux D. | University of Valenciennes et du Hainaut-Cambresis |
| Liu N. | North China Electric Power University |
| Premrudeepreechacharn S. | Chiang Mai University |
| Sun Y. | Hohai University |
| Gu W. | Southeast University |
| Aguado, J.A. | Universidad de Málaga |
| Baños R. | Universidad de Almeria |
| Montoya F. | Universidad de Almeria |
| Maciel P. | Universidade Federal de Pernambuco |
| Liu M. | South China University of Technology |
| Zhang C. | Shandong University |
| Liu Z. | North China Electric Power University |
| Wu Z. | Southeast University |
| Miao S. | Huazhong University of Science and Technology |
| Yu J. | Chongqing University |
| Ferreira J. | Universidade de Pernambuco |
| Won D. | Inha University, Incheon |
| Bai L. | The University of North Carolina at Charlotte |
| Hu Y. | Hohai University |
| Yao L. | National Taipei University of Technology |
| Lim W. | UCSI University |
| Yang F. | Chongqing University |
| Sun H. | Hebei University of Technology |
| Callou G. | Universidade Federal Rural de Pernambuco |
| Lee J. | University of Louisiana at Lafayette |
| Zhao D. | North China Electric Power University |
| Zhang X. | Shantou University |
| Li Y. | Zhejiang University City College |
| Gutiérrez-Alcaraz G. | Tecnológico Nacional de México / I.T. |
| Huang N. | Northeast Electric Power University |
| Xiang J. | Zhejiang University |
| Morshed M. | University of Louisiana at Lafayette |
| Sun B. | Shandong University |
| Bekrar A. | University of Valenciennes et du Hainaut-Cambresis |
| Rhee S. | Yeungnam University |
| Kamel S. | Aswan University |
| Xie M. | South China University of Technology |
| Tutsch D. | Bergische Universitat Wuppertal |
| Sidorov D. | Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences |
| Zhang X. | Nanyang Technological University |
| Zhou B. | China Southern Power Grid |
| Perng J. | National Sun Yat-Sen University Taiwan |
| Panasetsky D. | Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences |
| Zheng T. | Tsinghua University |
| Li J. | Northeast China Institute of Electric Power Engineering |
| Hinojosa V. | Universidad Técnica Federico Santa María |
| Siritaratiwat A. | Khon Kaen University |
| Hua D. | South China University of Technology |
| Hamouda A. | Université Ferhat Abbas de Sétif |
| Zhang L. | Tianjin University of Commerce |
| Alcayde A. | Universidad de Almeria |
| Ge W. | State Grid Liaoning Electric Power Supply Co., Ltd. |
| Zhang L. | Chongqing University |
| Zhang C. | Hunan University |
| Wu J. | Beihang University |
| Wang Y. | North China Electric Power University |
| Febrero-Garrido L. | Defense University Center |
| Chambers T. | University of Louisiana at Lafayette |
| Truong A. | HCMC University of Technology and Education |
| Nganhou J. | University of Yaoundé |
| Li Y. | Huazhong University of Science and Technology |
| Lin L. | Jilin Institute of Chemical Technology |
| Jiang T. | North China Electric Power University |
| Ebeed M. | Sohag University |
| Chatthaworn R. | Khon Kaen University |
| Duong T. | Industrial University of Ho Chi Minh City |
| Hamandjoda O. | University of Yaoundé |
| Chun Y. | Hongik University |
| Ye C. | Huazhong University of Science and Technology |
| Mei S. | Qinghai University |
| Nguyen T. | Industrial University of Ho Chi Minh City |
| Mao T. | China Southern Power Grid |
| Wang Y. | Hohai University |
| Arrabal-Campos F. | Universidad de Almeria |
| Tiang S. | UCSI University |
| Hmida J. | University of Louisiana at Lafayette |
| Tan T. | UCSI University |
| Chen S. | Anqing Teachers College |
| Sahli Z. | Université Ferhat Abbas de Sétif |
| Kim C. | Yeungnam University |
| Li F. | Shandong University |
| Meva’a L. | University of Yaoundé |
| Wadood A. | Yeungnam University |
| Le Y. | State Grid Zhejiang Electric Power Corporation |
| Khunkitti S. | Khon Kaen University |
| Hong Wong C. | UCSI University |
| Shim M. | Inha University, Incheon |
| Dong X. | North China Electric Power University |
| Du Y. | State Grid Ganzhou Electric Power Supply Company |
| Xie L. | China Electric Power Research Institute |
| Li L. | Huazhong University of Science and Technology |
| Du X. | Southeast University |
| Fang C. | State Grid Shanghai Municipal Electric Power Company |
| Ndzana B. | University of Yaoundé |
| Yew Pang J. | Heriot-Watt University, Malaysia |
| Hu Z. | Zhejiang Electric Power CorporationWenzhou Power Supply Company |
| Chen Y. | Zhejiang University |
| Liu J. | State Grid Shanghai Municipal Electric Power Company |
| Xue L. | Northeast China Institute of Electric Power Engineering |
| Yimen N. | University of Yaoundé |
| Khurshiad T. | Yeungnam University |
| Kim N. | Hyosung Group |
| Shao B. | State Grid Liaoning Electric Power Company Limited Electric Power Research Institute |
| Guo B. | Jilin University |
| Li K. | Beihang University |
| Kuang J. | Shandong University |
| Yu J. | Anyang Institute of Technology |
| Sun J. | Beihang University |
| Ling P. | State Grid Shanghai Municipal Electric Power Company |
| Guo B. | North China Electric Power University |
| Li C. | Huazhong University of Science and Technology |
| Leiva, J | Universidad de Malaga |
| Li J. | Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. |
| Kuo Y. | Taiwan Power Company |
| Yang X. | Chongqing University |
| Yu L. | Tianjin University of Commerce |
| Zhang Y. | Zhoushan Power Company of State Grid |
| Niu F. | Zhejiang University |
| Ogando-Martínez A. | Universidad de Vigo |
| Han X. | State Grid Sichuan Electric Power Company |
| Ren X. | Tianjin University of Commerce |
| Gan C. | Zhoushan Power Company of State Grid |
| Xiao L. | Tianjin University of Commerce |
| Fan C. | State Grid Sichuan Electric Power Research Institute |
| Ton T. | Thu Duc College of Technology |
| Zhang J. | Northeast Electric Power University |
| Chen H. | Tsinghua University |
| Zhou H. | Northeast Electric Power University |
| López-Gómez J. | Universidad de Vigo |
| Jiang S. | Anqing Teachers College |
| Lu S. | Taiwan Power Company |
| Sun G. | South China University of Technology |
| Cheng P. | Guangzhou Power Supply Bureau Co., Ltd. |
| Li X. | North China Electric Power University |
| Cheng W. | Shenzhen Power Supply Bureau Co., Ltd. |
| Cheng R. | Shenzhen Power Supply Bureau Co., Ltd. |
| Lee H. | Korea Electrotechnology Research Institute |
| Chen Z. | State Grid Sichuan Electric Power Research Institute |
| Shi J. | Shenzhen Power Supply Bureau Co., Ltd. |
| Abdo M. | Aswan University |
| Carmona R. | Universidad de Malaga |
| Wei W. | South China University of Technology |
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MDPI and ACS Style
Montoya, F.G.; Baños, R.; Alcayde, A.; Manzano-Agugliaro, F. Optimization Methods Applied to Power Systems. Energies 2019, 12, 2302. https://doi.org/10.3390/en12122302
AMA Style
Montoya FG, Baños R, Alcayde A, Manzano-Agugliaro F. Optimization Methods Applied to Power Systems. Energies. 2019; 12(12):2302. https://doi.org/10.3390/en12122302
Chicago/Turabian StyleMontoya, Francisco G., Raúl Baños, Alfredo Alcayde, and Francisco Manzano-Agugliaro. 2019. "Optimization Methods Applied to Power Systems" Energies 12, no. 12: 2302. https://doi.org/10.3390/en12122302
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