DSpace Communidade:http://www.repositorio.ufc.br/handle/riufc/4642019-03-20T17:09:12Z2019-03-20T17:09:12ZPosicionamento eficiente de chaves em rede de distribuição utilizando algoritmo multiobjetivo com validação de solução por meio de verificação de restriçõesLeite, Fabricio da Rochahttp://www.repositorio.ufc.br/handle/riufc/403162019-03-15T14:48:57Z2019-02-27T00:00:00ZTítulo: Posicionamento eficiente de chaves em rede de distribuição utilizando algoritmo multiobjetivo com validação de solução por meio de verificação de restrições
Autor(es): Leite, Fabricio da Rocha
Abstract: The demand of the consumers for better levels of quality and continuity of the service of
energy supply, besides the requirement of regulatory agencies to attend certain quality
indicators of this service, has asked of the concessionaires of energy greater efficiency. One of
the strategies to solve this problem is the automation of distribution networks, with the
installation of intelligent protection equipment, allowing the rapid restoration for temporary
faults, or in the case of permanent faults, isolating the faulty part and restoring the unaffected
part. This work aims to implement an algorithm that seeks the efficient location of keys in a
distribution network, considering criteria of quantity of clients deenergized and number of
keys with the capacity constraints of transformers supply, ampacity of the feeders and
adequacy level of voltage, in order to contribute to the effective improvement of the reliability
of distribution networks. The multiobjective optimization (MOSP) technique, based on a
particle swarm (PSO), is based on the paradigm of the interaction between the particles of a
swarm (or individuals of a population) that seek a global optimum. The constraints by
observing the load of the conductors and transformers, as well as the voltage level at the
network nodes are verified through the load flow study by the inverse direct sweep method for
all the system's contingencies. For the implementation of the algorithm we used the Python
programming language, with representation of the electrical network provided by a data
coding supported in graph theory called Node-Depth Representation. The solution developed
was applied in the electrical network of the Pici University Campus of the Federal University
of Ceará (UFC), whose problems of general power shutdowns are historical, mainly due to the
characteristic of being a radial system with only general protection. The equipment
installation topology will provide for the subdivision of the campus distribution network,
increasing the reliability and availability of the power supply.2019-02-27T00:00:00ZAnálise de perdas técnicas em alimentadores de média tensão usando fluxo de carga monofásico e trifásicoSilva, Francisco Jeandson Rodrigues dahttp://www.repositorio.ufc.br/handle/riufc/402602019-03-12T18:25:23Z2019-02-13T00:00:00ZTítulo: Análise de perdas técnicas em alimentadores de média tensão usando fluxo de carga monofásico e trifásico
Autor(es): Silva, Francisco Jeandson Rodrigues da
Abstract: The electricity distributors have great financial losses caused by the electrical losses
in their distribution networks. Therefore, it is important to develop simple and reliable
solutions to minimize this economic impact. There are several computational tools to
calculate the electrical losses based on two methodologies: the single-phase and
three-phase load flow. In this work, initially, CEPEL's ANAREDE load flow is used to
perform single-phase loss analysis in balanced distribution systems with average
demand and border measurements. In order to use three-phase load flow, it is
mandatory to obtain three-phase electrical data and, currently, there is no
methodology developed for this purpose. Then, a new methodology for obtaining
three-phase data for real distribution feeders was developed, with the following steps:
extracting the electrical information (kW, kVAr and FP) from the online system; To
analyze the behavior of the load curve of the feeders, to set up tables with the hourly
means per phase; analyze the level of load unbalance of the feeders; construct a file
with the three-phase data correcting the demands as measured from the monitoring
system. The data obtained with the new methodology, together with the INTERPLAN
program were used to calculate the technical losses in three-phase true feeders.
With the results obtained from ANAREDE, it was possible to propose a project to
reduce 94 MW of losses in real feeders. In the case of results obtained with
INTERPLAN, it was possible to reduce the load unbalance of real feeders and to
connect renewable sources, to obtain a reduction in the percentage of losses in two
feeders of 31.93% and 73.32%, which corresponds to a savings of R $ 9,280 per
month. Therefore, it is possible to affirm that the analysis of technical losses
performed using the average demands and the border measurements obtained
satisfactory results, that the new methodology for obtaining three-phase data of
distribution systems can be used in the electric sector, providing the use of any threephase load flow, for the reduction of electrical losses with the reduction of load unbalance.2019-02-13T00:00:00ZUtilização da meta-heurística PSO para otimização multiobjetivo de um Smart Home ControllerSantos, Stéphanie Alencar Braga doshttp://www.repositorio.ufc.br/handle/riufc/402392019-03-11T17:25:56Z2019-02-11T00:00:00ZTítulo: Utilização da meta-heurística PSO para otimização multiobjetivo de um Smart Home Controller
Autor(es): Santos, Stéphanie Alencar Braga dos
Abstract: Energy efficiency is a top concern for companies, governments, investors and other energy
market participants in recent decades. Thus, in pursuit of the objectives of efficient
and sustainable energy supply, reduction of gas emissions, energy savings and achieving
satisfactory levels of safety and quality in energy supply, Smart Grid technologies are
attracting increasing attention due to its inherent ability to achieve a sustainable energy
management system. From this context, this dissertation is in price-based demand
response scenario, in which, by to advertised price, residential consumers can regulate the
operations of their handsets. User satisfaction is one of the most relevant aspects that
should be considered along with energy bill reduction power. This dissertation presents a
Smart Home Controller (SHC), which uses a population-based metaheuristic optimization
technique. The proposal presents the mathematical formulation of the problem through a
multiobjective function that seeks to achieve a tradeoff between the total cost of electricity
consumption and the optimization of level of comfort of the user, besides ensuring that the
total consumption does not exceed the considered maximum demand. The solution to the
described optimization problem is performed through the implementation of the Particle
Swarm Optimization algorithm (PSO), making use of two tariffs, flat tariff and the White
Tariff, the Time Of Use tariff used in Brazil to residential users. The implementation
and simulations results show that SHC can provide a reduction in electricity costs while
considering satisfactory levels to user comfort offered.2019-02-11T00:00:00ZContribuições para o estudo do compensador síncrono baseado em máquina de indução duplamente alimentadaSilva, Paulo Henrique Pereirahttp://www.repositorio.ufc.br/handle/riufc/401812019-03-11T12:03:17Z2018-10-26T00:00:00ZTítulo: Contribuições para o estudo do compensador síncrono baseado em máquina de indução duplamente alimentada
Autor(es): Silva, Paulo Henrique Pereira
Abstract: The supply of energy plays a key role in today’s world for the development of nations. Adequate
provision of this energy is increasingly important, given the complexity and sensitivity of
the equipment used to operate it properly. On the other hand, arrangements with induction
machines, such as the Doubly Fed Induction Generator (DFIG), have potential for use in reactive
compensation, which goes beyond its most common application in eolioelectric generation,
helping to improve energy quality. In this context, this paper presents contributions to the study
of the use of DFIG as a synchronous compensator. Four different control strategies are analyzed
in order to provide power compensation for the cases of networks with voltage unbalance.
The mathematical modeling was developed based on the sequence separation method and later
validated through simulations carried out by PSCAD / EMTDC software and experimental tests
in the laboratory. The results showed that the developed control reduced the oscillating sine and
cosine components present in the active and reactive powers, as well as mitigated the oscillations
in the rotor and stator currents of the machine, coming from negative sequence. In this way, the
proposed compensator was able to process power in a bus that was in voltage unbalance. This
paper contains arguments that point out that the proposed model has the potential to be used in
favor of improving the quality of electric energy.2018-10-26T00:00:00Z