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Computational methodology to evaluate the quality of power systems restoration plans

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Author(s):
Alexandre de Assis Mota
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
André Luiz Morelato França; Akebo Yamakami; Ariovaldo Verandio Garcia; Jose Vicente Canto dos Santos; Luis Carlos Pereira da Silva; Nelson Martins
Advisor: André Luiz Morelato França
Abstract

A successful restoration depends on the quality of the restoration plans, that describe the sequence of control actions that must be executed to reenergize different areas (of the power system) just after total or partial blackouts. This work proposes a methodology to automatically evalute the quality of power system restoration plans, related to (a) the flexibility of the plan, (b) numerical quality indexes, extracted using a graph representation for the plan and (c) the easiness of use, visualization, training and access to restoration instructions. Different techniques and methods were used to achieve this goal (minimum path search, adoption of fuzzy indexes, critical path methods), focusing on the determination of numerical indexes that express the quality of the plan, such as total restoration duration, fluent phase efficiency, interrupted load evolution and estimated interruption costs (AU)