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Optimized Allocation of DGs to Improve System Reliability Based on Loading Effects

  • Research Article - Electrical Engineering
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Abstract

The results obtained by recent researches on distributed generations (DGs) have shown that distribution systems adequacy can be improved using DGs. The features supported by DGs improving the system reliability are different. DGs can help decrease devices failure rate by improving the current passing through each distribution line and any device of system. In this point of view, DGs have the same effects as redundant lines. It is interesting that by minimum capacity of DG sources, the maximized reliability improvement can be achieved. The placement of DGs is one of the most important parameters of their planning. In this paper, a novel method is proposed to optimize the placement of DGs based on decreasing failure due to the enhancement of loading effects. Average system interruption frequency index is selected to define the objective function. Moreover, the optimization problem is solved by genetic algorithm (GA). MATLAB GA toolbox is used to implement the optimization problem solving. The method is applied to a 20 kV, 33-bus realistic system of Tehran Regional Electrical Company. Test results illustrate by optimal allocation of 2,000 and 1,000 kVA DGs generation capacity according to proposed method, 12.32 % and 6.35 % ASIFI decrement can be achieved, respectively. Furthermore, the system in view point of protective device placements, maximum DGs generation capacity, the critical lines and the most important sections are studied.

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Abbreviations

T :

Total loads connected to distribution system

mb:

Number of main branch sections

n :

Total number of system sections

λ mi :

Failure rate of section (i) located in main branch

λ (s, p):

Failure rate of section (p) located in s−th lateral branch

L mi :

Connected loads to section (i) of main branch

flb(i):

First downstream lateral branch of section (i) from main branch

L(s, p):

Loads of section (p) located in s-th lateral branch

ts(s):

Number of sections located in s-th lateral branch

blb(i):

First upstream lateral branch of section (i) located in main branch

fdmb(i):

First downstream main branch of i-th lateral branch

fumb(i):

First upstream main branch of i-th lateral branch

X DG :

Matrix of DGs penetration coefficient

O.F:

Objective function of optimization problem

G :

Generation size of genetic algorithm

I :

Algorithm iteration

L :

Matrix of loads

λ :

Matrix of sections failure rate

X i :

Penetration coefficient of DG connected to section (i)

α i :

Proportion of current transmitting through section (i) using DG to its present value

L i :

Amount of load installed in section (i)

D i :

Length of section (i)

L i,new :

Amount of compensated load transmitting through section (i)

L i,old :

Amount of load transmitting through section (i) without using DGs

S t,DG :

Total apparent power capacity of DGs

I i :

Current transmitting through section (i)

I Li :

Current transmitting through section (i) to supply load (i)

S i :

Apparent power transmitting through section (i)

λ i,new :

Compensated failure rate of section (i) using DGs

λ i,min :

Minimum failure rate of section (i)

λ i,old :

Failure rate of section (i) without any compensation

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Authors and Affiliations

  1. Electrical Engineering Department, Amirkabir University of Technology, No. 424, Hafez Ave, 15914, Tehran, Iran

    Hamed Hashemi-Dezaki, Hossein Askarian-Abyaneh, Gevork Gharehpetian & Hamed Nafisi

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  1. Hamed Hashemi-Dezaki
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  2. Hossein Askarian-Abyaneh
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  3. Gevork Gharehpetian
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  4. Hamed Nafisi
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Correspondence to Hamed Hashemi-Dezaki.

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Hashemi-Dezaki, H., Askarian-Abyaneh, H., Gharehpetian, G. et al. Optimized Allocation of DGs to Improve System Reliability Based on Loading Effects. Arab J Sci Eng 39, 3907–3915 (2014). https://doi.org/10.1007/s13369-014-1005-y

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