603 research outputs found
MV network planning under uncertainties on distributed generation penetration
No full textThe necessity for flexible electric systems, changing regulatory and economic scenarios, energy savings and environmental impact are providing impetus to the development of distributed generation, which is predicted to play an increasing role in the future electric power system; with so much new distributed generation being installed, it is critical that the power system impacts be assessed accurately so that DG can be applied in a manner that avoids causing degradation of power quality, reliability and control of the utility system. Considering that uncertainties on DG power production are very relevant and different scenarios should be taken into consideration, traditional deterministic planning techniques cannot be sufficient to take the right decisions. For these reasons, this paper proposes a new three steps procedure, based on an heuristic optimization algorithm for the optimal network planning, considering all technical constraints, like feeder capacity limits, feeder voltage profile and three-phase short circuit current in the network nodes and on the application of the decision theory. Finally a case study is proposed and discussed to show the applicability of the proposed methodology and its main advantage
Fattori di rischio e di protezione nell'emergenza Covid-19
No full textVengono elencate le nuove sfide ed i bisogni emergenti, dal punto di vista psicologico, in relazione alla Pandamia da Covid19. Il Kit contiene risorse, linee guida, suggerimenti, analisi e strumenti di aiuto agli operatori volontari o pubblici della psicologia dell’emergenza che stanno affrontando la pandemia da Covid-19, elaborate da un team scientifico multidisciplinare
A Distributed Parameter Model for Grounding Systems in the PSCAD/EMTDC Environment
No full textABSTRACT: The study of grounding system behavior under lightning condition is a very hard problem to handle. The high frequencies that characterize the lightning phenomena require the use of distributed parameter models instead of lumped parameter ones. This fact makes hard to model and simulate complex earth system architectures and complete power system circuits. Aim of the paper is to develop a distributed parameter model to be implemented in an electromagnetic transients simulator (PSCAD/EMTDC), simple to use in different electric circuits in order to study lightning effects on power system. Computed results are compared to published experimental ones and to those obtained by different models reported in literature
Optimal Distributed Generation Allocation in MV Distribution Networks
No full textThe necessity for flexible electric systems, changing regulatory and economic scenarios, energy savings and environmental impact are providing impetus to the development of Distributed Generation (DG), which is predicted to play an increasing role in the electric power system of the future. With so much new distributed generation being installed, it is critical that the power system impacts be assessed accurately so that DG can be applied in a manner that avoids causing degradation of power quality, reliability and control of the utility system. For these reasons, the paper proposes a new software procedure, based on a Genetic Algorithm, capable to establish the optimal distributed generation allocation on an existing MV distribution network, considering all the technical constraints, like feeder capacity limits, feeder voltage profile and three-phase short circuit current in the network nodes
Penetration Level Assessment of Distributed Generation by means of Genetic Algorithms
No full textThe large amount of Distributed Generation (DG), that
will be installed in the near future, drastically changes the
behaviour of the typical passive MV distribution network.
If it is not correctly applied, it can cause degradation of
power quality, reliability and control of the power system,
vanishing the advantages it can introduce. This context
determines the need of new tools that help the planner to
correctly evaluate the DG impact on the distribution
network and to find the best size and location of the DG
for feeder voltage support and loss reduction. For these
reasons, the paper proposes a software procedure, based
on a Genetic Algorithm, able to establish the optimal
distributed generation allocation on an existing MV
distribution network, considering all technical constraints
like feeder capacity limits, feeder voltage profile and
three-phase short circuit current. The objective function
implemented includes among its terms the costs of buying
energy from the transmission system and from the DG
units. This allows assessing the more convenient
penetration level of DG in a distribution network.
Application examples are presented to illustrate the
algorithm effectiveness
Optimal sectionalizing switches allocation in distribution networks
No full textAutomatic devices that locate and automatically sectionalize faulted branches in MV voltage power distributions systems restrict drastically the extent of disruption caused by long power interruptions when properly positioned. Some algorithms and automatic calculation procedures are proposed here for determining the optimum number and location of automatic sectionalizing switching di vices. Using these algorithms, the optimal solution can be found for both radial and meshed systems. The procedure is based on Bellmann's optimality principle which, combined with thinning techniques yields finding the optimal solution in a few ms for real sire problems
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