Centralized Self-Healing Scheme for Electrical Distribution Systems

• Autor(a) principal: Cavalcante, Patricia L.
• Data de Publicação: 2016
• Outros Autores: Lopez, Juan Camilo, Franco, John F. [UNESP], Rider, Marcos J., Garcia, Ariovaldo V., Malveira, Marcos R. R., Martins, Luana L., Direito, Luiz Carlos M.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/TSG.2015.2454436; http://hdl.handle.net/11449/161089
• topic: Centralized self-healing scheme; load-shedding; mixed integer nonlinear programming; service restoration

In this paper, a two-stage procedure is proposed in order to solve the centralized self-healing scheme for electrical distribution systems. The considered self-healing actions are the reconfiguration of the distribution grid and, if needed, node and zone load-shedding. Thus, the proposed procedure determines the status of the switching devices in order to effectively isolate a faulty zone and minimize the number of de-energized nodes and zones, while ensuring that the operative and electrical constraints of the system are not violated. The proposed method is comprised of two stages. The first stage solves a mixed integer linear programming (MILP) problem in order to obtain the binary decision variables for the self-healing scheme (i.e., the switching device status and energized zones). In the second stage, a nonlinear programming (NLP) problem is solved in order to adjust the steady-state operating point of the topology found in the first stage (i.e., correction of the continuous electrical variables and load-shedding optimization). Commercial optimization solvers are used in the first stage to solve the MILP problem and in the second stage to solve the NLP problem. A 44-node test system and a real Brazilian distribution system with 964-nodes were used to test and verify the proposed methodology.