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Analysis of voltage and short-circuit current on photovoltaic generation dominated distribution systems
(2018-06-25)
This paper proposes an integrated impact analysis of photovoltaic generation in the voltage profile and the short-circuit level in secondary distribution networks. The analysis is to verify the level of voltage in consumer ...
Determination and statistical treatment of short-circuit currents for faults on the lines of networks of 440 kV CESP system
(1995-12-01)
The distribution of short-circuit current is investigated by means of two methods, one direct and the other analytic; both methods consider uniform probability distribution of line faults. In the direct method, the procedure ...
Short-Circuit Calculation in Unbalanced Three-Phase Power Distribution Systems with Distributed Generation
(2019-09-01)
This work proposes a method to calculate the short- circuit currents in unbalanced three-phase power distribution systems with distributed generation (DG) from non- and renewable energy resources. It takes into account the ...
Electric power systems transient stability analysis by neural networks
(1995-12-01)
This work aims to investigate the use of artificial neural networks in the analysis of the transient stability of Electric Power Systems (determination of critical clearing time for short-circuit faults type with electric ...
Dynamic behavior of cluster observables for the 2d Ising model
(2006-10-30)
We present results of our numerical study of the critical dynamics of percolation observables for the two-dimensional Ising model. We consider the (Monte Carlo) short-time evolution of the system with small initial ...
Incorporating voltage/reactive representation to short-term generation scheduling models
(2002-12-01)
This paper proposes a methodology to incorporate voltage/reactive representation to Short Term Generation Scheduling (STGS) models, which is based on active/reactive decoupling characteristics of power systems. In such ...
Evolving long short-term memory networks
(2020-01-01)
Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. ...
Environmentally Committed Short-Term Planning of Electrical Distribution Systems Considering Renewable Based DG Siting and Sizing
(Ieee, 2017-01-01)
This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the ...
Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing
(2017-07-12)
This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the ...
Incorporating voltage/reactive representation to short-term generation scheduling models
(IEEE, 2002-01-01)
This paper proposes a methodology to incorporate voltage/reactive representation to Short Term Generation Scheduling (STGS) models, which is based on active/reactive decoupling characteristics of power systems. In such ...