By Topic

Optimization of capacitor allocation for operational planning of distribution networks using linear programming and Mamdani fuzzy inference system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
de Souza, A.A.A. ; Polytech. Sch., Univ. of Sao Paulo, Sao Paulo, Brazil ; de Oliveira, C.C.B. ; de Geus, K.

This paper presents the development of a mathematical model applied to medium voltage electrical network planning to give support for capacitor placement decision task. For this goal, a linear mathematical model was developed to determine the location and power of the capacitor to improve the voltage level of the electrical system. The proposed model has linear objective function, linear constraints, continuous and binary variables, being represented by a mixed integer linear programming. The objective function to be minimized includes operational costs of installation, affected consumers and voltage constraints. These constraints are important to reduce the search space of the optimization procedure. In order to evaluate voltage level, the model includes a power flow method based on constant current. The qualitative variables in the objective function are modeled with a fuzzy system, addressing the impacts of applying capacitor related to consumers and network quality indicators.

Published in:

Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on

Date of Conference:

8-11 May 2011