학술논문

Path-based distribution network modeling: application to reconfiguration for loss reduction
Document Type
Periodical
Source
IEEE Transactions on Power Systems IEEE Trans. Power Syst. Power Systems, IEEE Transactions on. 20(2):556-564 May, 2005
Subject
Power, Energy and Industry Applications
Components, Circuits, Devices and Systems
Genetic algorithms
System testing
Power system modeling
Minimization methods
Cost function
Substations
Artificial intelligence
Simulated annealing
Fuzzy logic
Artificial neural networks
Distribution networks
genetic algorithm
loss minimization
network reconfiguration
Language
ISSN
0885-8950
1558-0679
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.