1,721,286 research outputs found
Numerical methods for computing and tracing flux lines of complex electrostatic fields.
The paper discusses numerical methods for computing and tracing flux lines in complex electrode configurations
A graphic simulation tool for teaching, training and research in power system engineering
This paper describes a Graphics Software Environment for power system dynamics analysis which has developed at the Electrical Engineering Department of the University of Padova with the financial support of the Automatica Research Centre of ENEL
Probabilistic Approaches for Evaluating the Environmental Magnetic Field Generated by Power Lines
Power line generated magnetic fields are
determined by a number of electrical and physical factors, some
of them characterized by statistical variations difficult to predict.
The non-deterministic nature of the magnetic field environment of
power lines may be suitably accounted for with the aid of
probabilistic models based on the Monte Carlo method. A
computer program has been developed by the authors, which
combines a detail modeling of the power lines with a statistical
section that allows to compute at any point in space the magnetic
field probability distribution given the frequency distributions of
the influencing parameters. The nature and the role played by the variation of each of the influencing factors (short and long term current fluctuations and variation of ambient parameters) are discusse
Analysis and design of conductive shields for the reduction of stray ELF magnetic fields produced by MV/LV substations
Analytical calculation of the environmental magnetic field generated by double circuit power lines
In this work approximate formulae are
presented for computing the magnetic field intensity
generated by power lines. Original expressions are
given for double circuit lines in both super-bundle and
low-reactance conductor phasing. These expressions can
be used for assessing directly the right-of-way width of
transmission lines related to maximum magnetic field
exposure levels which may be efficiently used in
environmental impact analysis. The accuracy of the
approach is demonstrated by comparison with (exact)
numerical computations based on the Biot-Savart’s law
Fast analytical computation of power-line magnetic fields by complex vector method
The electromagnetic environment related to electric power installations is typically evaluated by numerical integration methods. Numerical techniques, although powerful, are not well suited for assessing the dependence of the field strength on electric and geometric parameters. In this paper, a fast procedure to analytically evaluate power-line magnetic fields, based on complex vectors, is proposed. The use of complex algebra greatly simplifies analytical calculations compared to other approaches proposed in literature, allowing also complex conductor arrangements to be taken into account. A general formula for the magnetic-field intensity of any multiphase single-circuit line configuration is obtained. An expression for practical three-phase line configurations is simply derived as a particular case of the general formula. The proposed approach is then extended successfully to double-circuit lines, taking the load differences between circuits into account. Approximate formulas are validated by comparing magnetic flux density values with those computed from the general expression
Analytical calculation of the environmental magnetic field generated by single and double circuit power lines
Optimal co-ordinated operation of distributed multi-generation in active distribution networks
The ever growing connection of different types of
Distributed Generation (DG) in electrical distribution networks
makes the issue of regulation and co-ordination more stringent.
In this paper, an iterative procedure is presented to manage
storages and distributed multi-generation devices. The operational
optimisation is focused on providing, at minimum overall
production cost, electric and thermal energy subject to satisfying
the technical constraints of the electrical network. Particular
emphasis is given to voltage regulation which is achieved by
employing suitably modulated energy market signals
Distributed Co-ordinated Power Management inMV Electrical Networks
In a smart grid scenario, electrical networks are bound to evolve towards an internet-like model, where every node is connected each other, responsive to any signal, flexible and price-smart. A novel power management system should also ensure the customer participation in services for the grid support on the basis of network signals. The proposed methodology is a “token ring” internet-like procedure for power management in MV electrical networks, which allows each customer to freely operate the required network regulation replying to a power-price signal. Interactivity in a multi-level multi-area structure is fundamental to co-ordinate efficiently the regulation operation among different distributed resources. In this paper, the “token ring” management system is presented and its applicability is demonstrated on a case study electrical network
Electric Vehicles participation in distribution network voltage regulation
A widespread diffusion of Electric Vehicles plugged into distribution networks is strongly dependent on the establishment of a suitable co-ordinated management of all active resources in the grid. Vehicle-to-grid technology, allowing bidirectional power flows of on-board batteries, would enable a responsive behaviour of vehicles. EVs aggregators, such as swapping stations and car parking, could provide strategic ancillary services for the grid support. Provided an efficient remuneration scheme is applied, EVs could meet responsively the requirements of the grid, activating their participation also in voltage regulation. In fact, electronic equipments of recharge infrastructures would enable to exchange reactive power with the grid without practically affecting the downstream flow of batteries. Reactive power management could increase the opportunities for EVs and the benefit for the network
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