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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 ...
Decentralized AC power flow for real-time multi-TSO power system operation
(2010-12-06)
This paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by diferent transmission system operators (TSO). The proposed methodology allows finding ...
Model to increase the lateral line length of drip irrigation systems
(2012-12-01)
Non-pressure compensating drip hose is widely used for irrigation of vegetables and orchards. One limitation is that the lateral line length must be short to maintain uniformity due to head loss and slope. Any procedure ...
Optimal switch allocation for automatic load transfer in distribution substations
(2011-10-05)
This work proposes a methodology for optimized allocation of switches for automatic load transfer in distribution systems in order to improve the reliability indexes by restoring such systems which present voltage classes ...
Development Of Data Reconciliation For Dynamic Nonlinear System: Application The Polymerization Reactor
(Elsevier Science Ltd, Exeter, United Kingdom, 2000)
A structure excited by a DC motor of limited power supply and controlled by a pendulum like device
(2008-06-17)
In this paper, a mathematical model is derived via Lagrange's Equation for a shear building structure that acts as a foundation of a non-ideal direct current electric motor, controlled by a mass loose inside a circular ...
Modeling and analysis of artificial neural networks applied in operations research
(Elsevier B.V., 2001-01-01)
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a ...