DocumentCode
635322
Title
Expansion planning of electric power distribution systems under the paradigm of price cap regulation
Author
Giacomini, Julian C. ; Santos, Moises M. ; Neto, N. Knak ; Abaide, Alzenira da R.
Author_Institution
Group of Ind. Autom. & Control, Regional Univ. of Northwest Rio Grande do Sul, Ijui, Brazil
fYear
2013
fDate
27-31 May 2013
Firstpage
1
Lastpage
8
Abstract
This paper presents a GRASP (Greedy Randomized Adaptive Search Procedure) algorithm applied to resolution of expansion planning of electric power distribution systems (EPDS) under the paradigm of Price Cap regulation. The design of the expansion planning problem considering the tariff methodology becomes an important and challenging problem to be solved. In this sense, this paper presents the results of development of a methodology that considers the variables of Price Cap model along with the classic problem of expansion of electric power distribution systems. The proposed model is a problem of mixed integer nonlinear programming (MINLP), which is solved by employing the metaheuristic GRASP combined with a Constructive Heuristic Algorithm (CHA). Results of two distribution systems are demonstrated in order to analyze the algorithm development.
Keywords
greedy algorithms; integer programming; nonlinear programming; power distribution economics; power distribution planning; pricing; randomised algorithms; search problems; tariffs; CHA algorithm; MINLP; constructive heuristic algorithm; electric power distribution system; expansion planning problem; greedy randomized adaptive search procedure algorithm; metaheuristic GRASP algorithm; mixed integer nonlinear programming; price cap model; price cap regulation; tariff methodology; Adaptation models; Substations; Expansion planning of electric power distribution systems; GRASP; price cap regulation;
fLanguage
English
Publisher
ieee
Conference_Titel
European Energy Market (EEM), 2013 10th International Conference on the
Conference_Location
Stockholm
Type
conf
DOI
10.1109/EEM.2013.6607302
Filename
6607302
Link To Document