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In this paper, a Hopfield Neural Network based reconfiguration algorithm is proposed for power distribution network, in order to reduce losses in the network and increase reliability at the load points. A suitably constructed energy function is minimized to approach the optimal solution of the reconfiguration problem. The proposed approach is tested successfully on IEEE 33 bus distribution test system.
The operation of Flexible AC Transmission System Controllers (FACTS) in the power transmission system pose a challenge to the distance relaying scheme. This paper suggests an adaptive scheme for estimating the trip boundaries of a distance relay in presence of a Unified Power Flow Controller (UPFC), utilizing a Generalized Regression Neural Network (GRNN). Initially, the impact of the UPFC on the...
An accurate and efficient Short-Term Load Forecasting (STLF) plays a vital role for economic operational planning of both regulated power systems and electricity markets. Therefore, many techniques and approaches for STLF problem have been presented in the literature. However, there is still an essential need to develop more accurate load forecast method. This paper presents the application of artificial...
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