HYBRID FUZZY SYSTEM APPLIED TO PRIORITIZING THE CONSTRUCTION OF NEW FEEDERS IN POWER DISTRIBUTION NETWORKS

ABSTRACT

Multiple Criteria Decision Making (MCDM) methods have been used in various planning applications to classify, select, or order alternatives aggregated within a decision-making process. However, methods such as the analytic hierarchy process (AHP) in its traditional form, linearized AHP, and fuzzy-AHP extent analysis require the generation of paired comparison matrices associated with the alternatives for decision-making purposes. This work proposes a hybrid decision-making model based on the combination of the judgment matrix of the AHP method and an expert fuzzy system. A real case study of a concessionaire in Brazil is analyzed to validate the proposed model. The case study has 4 feeders that must be built. The traditional AHP method was applied, with the evaluation of 4 experts who produced a criteria judgment matrix containing the 10 analyzed criteria. After performing 240 comparisons between alternatives. The traditional AHP indicated priority indices of 50.35%, 23.98%, 14.25%, and 11.42%, respectively, for Feeders 1, 2, 3 and 4. The proposed hybrid AHP-Fuzzy method, using the same criteria judgment matrix elaborated by the experts, indicated priority indices of 40.36%, 25.04%, 24.82%, and 9.78%, respectively, for Feeders 1, 2, 3 and 4. The order of the priority obtained by the two methods was the same with the advantage that the proposed approach did not need to generate paired comparison matrices, contributing to minimize the dependence on human intervention and speed up the decision-making process. In the case study, the methods were also applied to linearized AHP and fuzzy-AHP extent analysis, which provided priority indices similar to those of the other methods, keeping the order of prioritization.

KEYWORDS:

• AHP
• expansion planning
• feeder construction
• fuzzy systems
• prioritization

Nomenclature

Table

Acknowledgments

This work was developed within the scope of the Master’s program in Electrical Engineering at the Federal University of Piauí (UFPI)-Brazil and had the support of the entire teaching and institutional staff.

Disclosure statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Additional information

Notes on contributors

Adriano Batista Silva

Adriano Batista Silva holds a degree in Electrical Engineering from the State University of Piauí-UESPI (2009) and a Master's degree from the Federal University of Piauí-UFPI (2019). He has experience as an engineer in the area of planning and studies of the expansion of power systems in the electricity distributor in the State of Piauí (2011-2019). Substitute professor in the electrical engineering course at UESPI (2012-2016). He is currently professor of the effective staff of the Federal Institute of Education, Science and Technology of Piauí-IFPI with interest in the areas of computational intelligence, renewable energies and planning of electrical power systems.

Hermes M. G. Castelo Branco

Hermes Manoel Galvão Castelo Branco is Professor at the Technology Center of the Federal University of Piauí, Teresina, Brazil. He received the B.Sc. degrees in Computer Science from the UFPI B.Sc. degrees in Electrical Engineering from the UNICEP, the M.Sc and the Ph.D. degree in Electrical Engineering from the University of São Paulo, São Paulo, in 2013. He has experience in application of computational intelligence in electrical power systems.

Thiago Carvalho de Sousa

Thiago Sousa is Assistant Professor at the Technology and Urbanism Center of the State University of Piauí (UESPI), Teresina, Brazil. He received the B.Sc. and the M.Sc. degrees in Computer Science from the University of São Paulo, São Paulo, Brazil, in 2002 and 2007, respectively, and the Ph.D. degree in Electrical Engineering from the University of São Paulo, São Paulo, Brazil, in 2013, with a doctoral training at the University of Southampton, England, in 2011. He has experience in formal methods and model checking.

Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues [Fellow, IEEE] is a professor at the Federal University of Piauí, Brazil; and senior researcher at the Instituto de Telecomunicações, Portugal. Prof. Rodrigues is the leader of the Next-Generation Networks and Applications (NetGNA) research group (CNPq), an IEEE Distinguished Lecturer, Member Representative of the IEEE Communications Society on the IEEE Biometrics Council, and the President of the scientific council at ParkUrbis – Covilhã Science and Technology Park. He was Director for Conference Development - IEEE ComSoc Board of Governors, Technical Activities Committee Chair of the IEEE ComSoc Latin America Region Board, a Past-Chair of the IEEE ComSoc Technical Committee (TC) on eHealth and the TC on Communications Software, a Steering Committee member of the IEEE Life Sciences Technical Community and Publications cochair. He is the editor-in-chief of the International Journal of E-Health and Medical Communications and editorial board member of several high-reputed journals (mainly, from IEEE). He has been general chair and TPC Chair of many international conferences, including IEEE ICC, IEEE GLOBECOM, IEEE HEALTHCOM, and IEEE LatinCom. He has authored or coauthored about 1000 papers in refereed international journals and conferences, 3 books, 2 patents, and 1 ITU-T Recommendation. He had been awarded several Outstanding Leadership and Outstanding Service Awards by IEEE Communications Society and several best papers awards. Prof. Rodrigues is a member of the Internet Society, a senior member ACM, and Fellow of IEEE.

Ricardo De A. L. Rabêlo

Ricardo de Andrade Lira Rabelo is a Professor at the Federal University of Piauí, Teresina, Brazil. He received the B.Sc. degrees in Computer Science from the UFPI and the Ph.D. degree in Electrical Engineering from the University of São Paulo, São Paulo, in 2010. He has experience in the application of computational intelligence in Internet of Things and electrical power systems.