Search

Optimal distribution networks reconfiguration is very important in reducing losses and operating costs and in improving networks security, stability and reliability indicators. The work objective is reprogramming an algorithm that improves results obtained previously. Paper presents non-dominated classification genetic algorithm II parts adaptation and reprogramming, with a new coding that, unlike previous authors, avoids modified genetic operators and take better advantage of algorithm's potentialities. In addition, graph theory is used to transform non-feasible individuals and avoid new generations of them, dispensing with annoying mesh checking and reducing the search space and computational burden. Proposal's effectiveness was tested with 33 and 70 bars test distribution systems, showing promising results and better than previous proposals. [ABSTRACT FROM AUTHOR]

This paper presents two techniques for identifying topological scenarios of transmission networks for security enhancement in degraded network conditions. The implemented techniques are Simulated Annealing and Iterated Local Search. The objective of the topological modifications is the reduction of the number of violated constraints under N-1 contingencies. The proposed search techniques make topologic explorations through state changes in sub-station switches. These explorations are used to find reconfigurations of the electric power system which guaranty a higher level of security in face of N-1 contingencies when compared with the case when the topology is not changed. Security conditions consider an AC model and a bay-switch model to the assessment of contingencies, which allows the evaluation of real conditions of failure release in the power system. Results are presented with the IEEE 118 bus test system that demonstrates the effectiveness and applicability of the proposed techniques. [ABSTRACT FROM AUTHOR]

In this paper the necessary equations for considering existing network reconfiguration in the disjunctive linear model used to solve the problem transmission expansion planning. In the traditional methods used for solving this problem new transmission lines and two-winding transformers are commonly used as expansion candidates. However, reconfiguration of existing network has not been considered as a valid solution in the classical models. The Garver test system and a Colombian system are used to show that considering network reconfiguration can reduce investment costs of the transmission expansion planning problem. This work shows that an optimization model that includes conventional candidates and reconfiguration produces better expansion signals in the transmission lines of electric power systems. [ABSTRACT FROM AUTHOR]