Author(s):
Vale, Zita ; Canizes, Bruno ; Soares, João ; Oliveira, Pedro ; Sousa, Tiago ; Pinto, Tiago
Date: 2011
Persistent ID: http://hdl.handle.net/10400.22/1525
Origin: Repositório Científico do Instituto Politécnico do Porto
Subject(s): Distribution power systems; Fuzzy model; Load curtailment; Logic programming; Monte Carlo simulation; Reliability; Distribution power systems; Distribution power systems; Fuzzy model; Fuzzy model; Load curtailment; Load curtailment; Logic programming; Logic programming; Monte Carlo simulation; Monte Carlo simulation; Reliability; Reliability
Description
This paper present a methodology to choose the distribution networks reconfiguration that presents the lower power losses. The proposed methodology is based on statistical failure and repair data of the distribution power system components and uses fuzzy-probabilistic modeling for system component outage parameters. The proposed hybrid method using fuzzy sets and Monte Carlo simulation based on the fuzzyprobabilistic models allows catching both randomness and fuzziness of component outage parameters. A logic programming algorithm is applied, once obtained the system states by Monte Carlo Simulation, to get all possible reconfigurations for each system state. To evaluate the line flows and bus voltages and to identify if there is any overloading, and/or voltage violation an AC load flow has been applied to select the feasible reconfiguration with lower power losses. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 115 buses distribution network.
