Contribuições às técnicas de planejamento da expansão da transmissão de energia elétrica considerando incertezas

Abstract

This doctoral thesis presents contributions to solve the transmission network expansion planning problem considering uncertainties and optimal allocation of energy storage devices: (i) a methodology to solve the robust transmission network expansion planning problem considering wind generation and contingency dispatch scenarios, meeting the N-1 security criterion; (ii) a methodology to solve the transmission network expansion planning problem considering a dynamic planning horizon and constraints on reliability and use of available wind energy; (iii) two clustering algorithms, the modified Iterative Self-Organizing Data Analysis Technique Algorithm (m-ISODATA) and the Representative Period Clustering Algorithm (AAPR), proposed to obtain representative scenarios from historical series for application in planning and operation of power systems; (iv) a methodology to solve the transmission network expansion planning problem and optimal allocation of energy storage devices in a decoupled way, allowing the simultaneous solution of each chronological scenario.