<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The use of distributed generations (DGs) in distribution systems has been common in recent years. Some DGs work stand alone and it is possible to improve the system reliability by connecting these DGs to system. The joint point of DGs is an important parameter in the system designing. In this paper, a novel methodology is proposed to find the optimum solution in order to make a proper decision about DGs connection. In the proposed method, a novel objective function is introduced which includes the cost of connector lines between DGs and network and the cost of energy not supplied (CENS) savings. Furthermore, an analytical approach is used to calculate the CENS decrement. To solve the introduced nonlinear optimization programming, the genetic algorithm (GA) is used. The proposed method is applied to a realistic 183-bus system of Tehran Regional Electrical Company (TREC). The results illustrate the effectiveness of the method to improve the system reliability by connecting the DGs work stand alone in proper placements.</p></abstract>

The use of distributed generations (DGs) in distribution systems has been common in recent years. Some DGs work stand alone and it is possible to improve the system reliability by connecting these DGs to system. The joint point of DGs is an important parameter in the system designing. In this paper, a novel methodology is proposed to find the optimum solution in order to make a proper decision about DGs connection. In the proposed method, a novel objective function is introduced which includes the cost of connector lines between DGs and network and the cost of energy not supplied (CENS) savings. Furthermore, an analytical approach is used to calculate the CENS decrement. To solve the introduced nonlinear optimization programming, the genetic algorithm (GA) is used. The proposed method is applied to a realistic 183-bus system of Tehran Regional Electrical Company (TREC). The results illustrate the effectiveness of the method to improve the system reliability by connecting the DGs work stand alone in proper placements.

Optimized Placement of Connecting the Distributed Generationswork Stand Alone to Improve the Distribution Systems Reliability

Electrical Engineering Department, Amirkabir University of Technology, No. 424, Hafez Ave., Tehran, 1591634311 Iran

Journal of Electrical Engineering

The use of distributed generations (DGs) in distribution systems has been common in recent years. Some DGs work stand alone and it is possible to improve the...

Optimized Placement of Connecting the Distributed Generationswork Stand Alone to Improve the Distribution Systems Reliability

Data publikacji: 19 kwi 2013

Zakres stron: 76 - 83

DOI: https://doi.org/10.2478/jee-2013-0011

Słowa kluczowe
stand alone distributed generations, distribution systems, genetic algorithm (GA), system reliability, energy not-supplied (ENS)

This content is open access.

Optimized Placement of Connecting the Distributed Generationswork Stand Alone to Improve the Distribution Systems Reliability

Data publikacji: 19 kwi 2013

Zakres stron: 76 - 83

DOI: https://doi.org/10.2478/jee-2013-0011

Słowa kluczowestand alone distributed generations, distribution systems, genetic algorithm (GA), system reliability, energy not-supplied (ENS)

This content is open access.

Słowa kluczowe
stand alone distributed generations, distribution systems, genetic algorithm (GA), system reliability, energy not-supplied (ENS)