In this paper, the classical load flow model and the random flow model are considered for analyzing the performance of power transmission networks. The analysis concerns both the system performance and the importance of the different system elements; this latter is computed by power flow and random walk betweenness centrality measures. A network system from the literature is analyzed, representing a simple electrical power transmission network. The results obtained highlight the differences between the LF “global approach” to flow dispatch and the RF local approach of randomized node-to-node load transfer. Furthermore, computationally the LF model is less consuming than the RF model but problems of convergence may arise in the LF calculatio...
The load flow problem (LFP) in power distribution networks allows us to find the nodal voltage value...
This paper presents an alternative solution for the power-flow analysis of power systems with distri...
In planning and operation of power systems uncertainties introduced by stochastic behaviour of loads...
In this paper, the classical load flow model and the random flow model are considered for analyzing ...
International audienceCommonly used centrality measures identify the most important elements in netw...
Randomized flow model and centrality measure for electrical power transmission network analysi
International audienceIn this paper, the load flow problem in a power transmission network is studie...
A new method for probabilistic power flow considering transmission network contingency is proposed f...
Probabilistic load flow (PLF) calculation, as a fundamental tool to analyze transmission system beha...
Increasing decentralized and renewable power production, which is mainly installed in distribution n...
We use simulation to compare different power flow models in the process of charging electric vehicle...
Abstract – A comprehensive model for stochastic load flow analysis in electric power systems is prop...
Improved randomized flow model for 330kV electric power transmission network in Nigeria is a study b...
The purpose of this thesis is to expand the rigor of the development of new power flow solvers throu...
The authors specify a network simplex method of the load-flow calculation in a power system. The pro...
The load flow problem (LFP) in power distribution networks allows us to find the nodal voltage value...
This paper presents an alternative solution for the power-flow analysis of power systems with distri...
In planning and operation of power systems uncertainties introduced by stochastic behaviour of loads...
In this paper, the classical load flow model and the random flow model are considered for analyzing ...
International audienceCommonly used centrality measures identify the most important elements in netw...
Randomized flow model and centrality measure for electrical power transmission network analysi
International audienceIn this paper, the load flow problem in a power transmission network is studie...
A new method for probabilistic power flow considering transmission network contingency is proposed f...
Probabilistic load flow (PLF) calculation, as a fundamental tool to analyze transmission system beha...
Increasing decentralized and renewable power production, which is mainly installed in distribution n...
We use simulation to compare different power flow models in the process of charging electric vehicle...
Abstract – A comprehensive model for stochastic load flow analysis in electric power systems is prop...
Improved randomized flow model for 330kV electric power transmission network in Nigeria is a study b...
The purpose of this thesis is to expand the rigor of the development of new power flow solvers throu...
The authors specify a network simplex method of the load-flow calculation in a power system. The pro...
The load flow problem (LFP) in power distribution networks allows us to find the nodal voltage value...
This paper presents an alternative solution for the power-flow analysis of power systems with distri...
In planning and operation of power systems uncertainties introduced by stochastic behaviour of loads...