Evaluating the reliability of communication networks in a smart grid

• Grant number: 15/21924-1
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2017
• End date: December 02, 2018
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: Nelson Kagan
• Grantee: Majid Forghani Elahabad
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

The basic structure of current power grid has not been notably changed over the last 100 years while there has been a significant increase in load demand and security concerns. Accordingly, such a traditional power grid is ill-fitted for the needs of the 21st Century, especially due to requirements for higher system reliability and application of new technologies. To address such requirements, the smart grid concept has emerged. The most important difference between traditional grids and smart grids is the communication infrastructure to be applied into the latter one. However, the coupling between communication networks and electric power networks can increase the risk of large failures. Hence, evaluating the reliability of the smart grid communication networks is of great importance. Here, the problem of reliability evaluation of smart grid communication networks will be considered. In order to assess the reliability of a communication network, several exact and approximate approaches have been proposed in the literature according to two-terminal, k-terminal, and all-terminal reliability indices. Both the exact and approximate techniques related to all the three indices will be investigated in this project to propose some new efficient algorithms for assessing the reliability of smart grid communication networks. The new proposed algorithms will be implemented in a high-level programming language to benchmark with existing algorithms and also will be applied to randomly generated networks. The proposed techniques will serve as a basis for the formulation of an optimization problem in order to design and plan highly reliable communication networks which are required for the implementation of smart grids. The results shall be used for the reliability evaluation of smart grid communication networks in Sao Paulo and Washington State. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FORGHANI-ELAHABAD, MAJID; KAGAN, NELSON. An approximate approach for reliability evaluation of a multistate flow network in terms of minimal cuts. JOURNAL OF COMPUTATIONAL SCIENCE, v. 33, p. 61-67, APR 2019. (15/21924-1)

FORGHANI-ELAHABAD, MAJID; KAGAN, NELSON. Assessing Reliability of Multistate Flow Networks Under Cost Constraint in Terms of Minimal Cuts. INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, v. 26, n. 5, OCT 2019. (15/21924-1)

FORGHANI-ELAHABAD, MAJID; KAGAN, NELSON; MAHDAVI-AMIRI, NEZAM. An MP-based approximation algorithm on reliability evaluation of multistate flow networks. RELIABILITY ENGINEERING & SYSTEM SAFETY, v. 191, NOV 2019. (15/21924-1)

FORGHANI-ELAHABAD, MAJID; KAGAN, NELSON. Reliability evaluation of a stochastic-flow network in terms of minimal paths with budget constraint. IISE TRANSACTIONS, v. 51, n. 5, p. 547-558, 2019. (15/21924-1)