Methods to forescast load behaviour during power systems restoration

Author(s)

Lia Toledo Moreira Mota

• Document type: Doctoral Thesis
• Press: Campinas, SP.
• Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
• Defense date: 2005-03-29

Examining board members

André Luiz Morelato França; Djalma Mosqueira Falcão; Jose Vicente Canto dos Santos; Vivaldo Fernando da Costa; Takaaki Ohishi; Carlos Alberto Favarin Murari

• Advisor: André Luiz Morelato França

Abstract

This work is focused on developing methods to forecast the load behavior during power systems restoration. Two methodologies were implemented. The first one is the Top-Down Heuristic Method, based on rules extracted from expert experiences and also on past events, that yields an approximate representation of the load behavior at a low computational effort. In this method, the uncertainties associated to the variables and rules are modeled using fuzzy logic. The second method is the Bottom-Up White-Box Method that alows a more adequate representation of the load behavior, by modelling both the functioning of individual equipments and the physical phenomena involved with the reenergization process. In this methodology, the implemented models take into account the residential, the commercial and the industrial consume parcels and the control type of each equipment (thermostatically controlled, fixed and manually controlled). Tests and simulations were carried out in order to verify the adequacy of the proposed methodologies and to compare the advantages and disadvantages of each one (AU)