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A mixed-integer LP model for the optimal allocation of voltage regulators and capacitors in radial distribution systems
(2013-01-21)
This paper presents a mixed-integer linear programming model to solve the problem of allocating voltage regulators and fixed or switched capacitors (VRCs) in radial distribution systems. The use of a mixed-integer linear ...
A mixed-integer LP model for the optimal allocation of voltage regulators and capacitors in radial distribution systems
(2013-01-21)
This paper presents a mixed-integer linear programming model to solve the problem of allocating voltage regulators and fixed or switched capacitors (VRCs) in radial distribution systems. The use of a mixed-integer linear ...
Investigation of Archiving Techniques for Evolutionary Multi-objective Optimizers
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2018)
A Multi-Objective Optimization Technique to Develop Protection Systems of Distribution Networks with Distributed Generation
(2018-05-30)
This paper presents a new methodology based on multi-objective optimization techniques to perform an optimized, coordinated and selective allocation of control and protection devices in distribution networks with distributed ...
Multi-objective Optimization for Preventive Tree Trimming Scheduling in Overhead Electric Power Distribution Networks
(2022-04-01)
One of the main causes of power supply interruption in distribution networks is the vegetation. The high cost of tree trimming schedules encourages utilities to look for more efficient ways to manage vegetation. In this ...
Optimal allocation of distributed generators providing reactive power support ancillary service
(2011-10-05)
Problems as voltage increase at the end of a feeder, demand supply unbalance in a fault condition, power quality decline, increase of power losses, and reduction of reliability levels may occur if Distributed Generators ...
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters
(ElsevierAmsterdam, 2014-11-02)
Support Vector Machines (SVMs) have achieved a considerable attention due to their theoretical foundations and good empirical performance when compared to other learning algorithms in different applications. However, the ...
Multi-Objective optimization of suspension kinematics
(Joinville, SC, 2021)
A non-linear multi-objective technique for hybrid peer-to-peer communication
This work proposes a strategy management technique based on hybrid peer-to-peer communication system. The main techniques used in the P2PC are: (i) Multi-objective optimization, (ii) Game theory technique, (iii) Non-linear ...