Title :
Path-based distribution network modeling: application to reconfiguration for loss reduction
Author :
Ramos, Esther Romero ; Expósito, Antonio Gómez ; Santos, Jesús Riquelme ; Iborra, Francisco Llorens
Author_Institution :
Dept. of Electr. Eng., Univ. of Sevilla, Spain
fDate :
5/1/2005 12:00:00 AM
Abstract :
This paper is devoted to efficiently modeling the connectivity of distribution networks, which are structurally meshed but radially operated. A new approach, based on the "path-to-node" concept, is presented, allowing both topological and electrical constraints to be algebraically formulated before the actual radial configuration is determined. In order to illustrate the possibilities of the proposed framework, the problem of network reconfiguration for power loss reduction is considered. Two different optimization algorithms-one resorting to a genetic algorithm and the other solving a conventional mixed-integer linear problem-are fully developed. The validity and effectiveness of the path-based distribution network modeling are demonstrated on different test systems.
Keywords :
genetic algorithms; integer programming; linear programming; losses; minimisation; power distribution planning; genetic algorithm; loss minimization; loss reduction; mixed-integer linear problem; optimization algorithm; path to node concept; path-based distribution network modeling; power loss reduction; radial configuration; Artificial intelligence; Artificial neural networks; Cost function; Fuzzy logic; Genetic algorithms; Minimization methods; Power system modeling; Simulated annealing; Substations; System testing; Distribution networks; genetic algorithm; loss minimization; network reconfiguration;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.846212