Voltage Profile and Short Circuit Analysis in Distribution Systems with DG

Nuroğlu, Fatih Mehmet; Arsoy, Ayşen Basa

doi:10.1109/epc.2008.4763309

Cited by 21 publications

(13 citation statements)

References 4 publications

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“…However, these references do not consider the maximum loading factor (MLF) and bus voltage limits in their approaches. References [11,14,17] show that the sizes and locations of DG units can significantly influence the voltage profile and should be well planned to maintain the node voltages within permissible limits.…”

Section: Introductionmentioning

confidence: 99%

Increasing distributed generation penetration in multiphase distribution networks considering grid losses, maximum loading factor and bus voltage limits

Juanuwattanakul

Masoum

2012

IET Generation, Transmission &Amp; Distribution

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Section: Introductionmentioning

confidence: 99%

Increasing distributed generation penetration in multiphase distribution networks considering grid losses, maximum loading factor and bus voltage limits

Juanuwattanakul

Masoum

2012

IET Generation, Transmission &Amp; Distribution

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“…The DG's impacts on the EDS have been widely discussed in several works already recognized in the literature Barker and Demello (2000), Brown and Freeman (2001), Nazari and Parniani (2006), Nuroglu and Arsoy (2008), Hsieh (2011). It is known that, from a technical point of view, the introduction of DGs in networks traditionally designed for supplying only loads could have both beneficial as harmful effects, which depends on the relationship of various factors.…”

Section: Introductionmentioning

confidence: 99%

Optimized Technical and Economic Evaluation of the Connection Point of Distributed Generators

Pereira

Padilha‐Feltrin

Rueda–Medina

2015

J Control Autom Electr Syst

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In most studies, the problem of allocation and sizing of the distributed generation is addressed considering that the distributed generators (DGs) could be installed in any bus of the system. Thus, these studies bring the optimal or best allocation place for the DGs without considering that in a real implementation not all buses are valid candidates due to restrictions in the system, such as environmental, social, and geographical aspects, for example. In this sense, the problem treated in this work consists of evaluating the allocating point of DGs in distribution systems based on technical and economic aspects, assuming that they are not necessarily located near the optimal or best allocation bus of the system. Two interests are investigated: on one hand, the problem 1, formulated as a multi-objective optimization (MO) problem and defined from the point of view of the independent energy producer (IEP) which owns the DGs; and, on the other hand, the problem 2, also formulated as a MO problem, but defined from the point of view of the distribution system operator (DSO). The results for the two problems were a set of solutions that established a conflict between the IEP and the DSO because the alternative that proved the most promising for the IEP was the less attractive for the DSO. The set of solutions found through the used solution technique constitutes a flexible environment that allows the IEP and the DSO to evaluate each proposed solution and decide on the one that is closest to the interests of both parties.

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“…With the DG unit, it can be used to reduce the power loss [5][6][7], improve the stability of the system [8,9], minimize the Total Harmonic Distortion (THD) [10,11], lowering the short circuit level [12,13] and many more. However, it is very important to have suitable location for the DG.…”

Section: Introductionmentioning

confidence: 99%

Optimal multiple distributed generation output and placement based on line capacity increment index

Jamian

Mustafa

Mukhtaruddin

2013

2013 IEEE Student Conference on Research and Developement

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A lot of Distributed Generation (DG) placement techniques have been in the distribution system. Among those techniques, the DG placement based on power loss (PL) reduction is the most popular methods used by many researchers. However, the selected DG location based on power loss index, sometimes, may cause some of the lines in the system to have higher current flow compared to the initial condition. This new current flow may cause some of the lines to operate in an overloaded condition. Therefore, a new approach to place the DG is proposed in this paper. By using the meta-heuristic optimization technique, which is Ranked Evolutionary Particle Swarm Optimization (REPSO), the DG location and their outputs will give lower power loss as well as minimum line capacity increment (LCI). The 33-bus distribution system is used to perform the proposed technique. The results show that the optimal DG location based on LCI does not only give zero line capacity increment, but also give the lowest power loss value as compared to the other techniques.

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Voltage Profile and Short Circuit Analysis in Distribution Systems with DG

Cited by 21 publications

References 4 publications

Increasing distributed generation penetration in multiphase distribution networks considering grid losses, maximum loading factor and bus voltage limits

Increasing distributed generation penetration in multiphase distribution networks considering grid losses, maximum loading factor and bus voltage limits

Optimized Technical and Economic Evaluation of the Connection Point of Distributed Generators

Optimal multiple distributed generation output and placement based on line capacity increment index

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