Automatic restoration of large-scale distribution networks with distributed generators, voltage control devices and heating loads

• Autor(a) principal: Peralta, Renzo Amilcar Vargas [UNESP]
• Data de Publicação: 2019
• Outros Autores: Leite, Jonatas Boás [UNESP], Mantovani, José Roberto Sanches [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• DOI: 10.1016/j.epsr.2019.105925
• Texto Completo: http://dx.doi.org/10.1016/j.epsr.2019.105925; http://hdl.handle.net/11449/190542
• topic: Cold load pickup; Distributed generation; Metaheuristic; Network restoration; Power distribution; Voltage control

Energy supply interruption by permanent faults causes economic and social problems, dissatisfaction of customers and penalization to electrical power distribution companies. In the procedure to restore distribution networks, power interruption damages must be minimized by energizing the largest possible number of customer loads in the shortest time interval. The restoration problem of distribution networks can be mathematically formulated as a mixed integer nonlinear programming problem that is non-convex of type NP-complete. The existence of heating loads causes the cold load pickup condition in the distribution network that requires the step-by-step procedure increasing the complexity of the restoration problem. In this work, therefore, it is proposed a methodology to solve the restoration problem of large-scale distribution networks with heating loads where the mathematical model is subjected to intentional islanding of distributed generation and voltage control through optimized adjustments on capacitor banks and voltage regulators. The outcomes are achieved under a testing distribution system with 53 nodes and a real system with 7052 nodes.