1,721,212 research outputs found
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
Smartgrid: Il contributo del CIRED. Ricerca sulle reti elettriche di distribuzione – Sessione 1: Componenti di rete
No full text
La sfida dell'elettrificazione rurale: il contributo CIGRE per gli obiettivi del millennio
No full textOptimal 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
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