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 :
بازگشت