| Full text | |
| Author(s): |
Tabares, Alejandra
[1]
;
Munoz-Delgado, Gregorio
[2]
;
Franco, John F.
[3]
;
Arroyo, Jose M.
[2]
;
Contreras, Javier
[2]
Total Authors: 5
|
| Affiliation: | [1] Sao Paulo State Univ, UNESP, Dept Elect Engn, BR-15385000 Ilha Solteira, SP - Brazil
[2] Univ Castilla La Mancha, Escuela Thcn Super Ingenieros Industriales, E-13071 Ciudad Real - Spain
[3] Sao Paulo State Univ, UNESP, Sch Energy Engn, BR-19274000 Rosana, SP - Brazil
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Power Systems; v. 34, n. 4, p. 2870-2879, JUL 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
The calculation of standard reliability indices is critical for assessing quality service and guiding the planning and operation of distribution systems. Traditionally, such calculation has relied on the application of analytical methods based on simulation techniques, which preclude the use of exact methodologies when reliability assessment is incorporated into operation and planning models. This shortcoming has been recently addressed by the development of two optimization-based approaches for the analytical reliability assessment of distribution systems. Unfortunately, both methods are either incomplete or computationally expensive as compared with those based on simulation. In order to overcome these issues, this paper presents a novel and efficient algebraic approach to calculate the standard network-dependent reliability indices of distribution systems. As a distinctive feature over previous non-simulation-based methods, no optimization process is involved. Thus, the proposed approach relies on the solution of a set of linear equations for which effective algorithms are available. Several benchmarks including a real-life 1080-node system have been used to demonstrate the computational superiority of the proposed method. The successful numerical experience supports the suitability of the proposed algebraic model for reliability-constrained distribution system operation and planning. (AU) | |
| FAPESP's process: | 17/02831-8 - Application of optimization methods to the planning of electrical distribution systems |
| Grantee: | John Fredy Franco Baquero |
| Support type: | Regular Research Grants |