Impact of Distributed Generation on the Reliability of Local Distribution System

Ahmad, Sheeraz; Sardar, Sana; Asar, Azzam ul; Noor, Babar

doi:10.14569/ijacsa.2017.080649

Cited by 15 publications

(7 citation statements)

References 15 publications

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“…In addition, there are two index groups to evaluate the reliability performance of distribution systems, which are the system index and the customer load point index [41]. The generally accepted reliability indices, IEEE, which is the Standard P1366 number, are defined as the Rules for the Distribution of Electrical Reliability Indexes [42].…”

Section: The Reliability Indices Of Power Systemsmentioning

confidence: 99%

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Tür

2020

IEEE Access

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The main task of distribution systems is to provide acceptable reliability, economic and quality service of electrical power according to the demanded load value. To fulfill this task more accurately, the reliability performance of the distribution system can be performed and measured using a wide variety of indices, which are divided into energy indices and frequency/expectation indices. This study evaluates the reliability indices of a part of the distribution network selected as a model and deals with the selection of the most suitable feeder by connecting energy storage units to the busbars. Using IEEE Standard 1366 reliability indices, historical data from Prosperous Electricity Distribution Company (PEDC), which is used to evaluate reliability based on the 5-year past reliability assessment of the power system (RAPS), was selected. In addition, as an innovation in this application process, energy storage systems (ESS) have been evaluated according to four different network configurations (A-B-C-D) to increase RAPS and achieve more realistic results. Using DigSILENT, ESS-based configurations are designed, comparisons are made, and configuration B is the best result to increase system reliability and the 80E6 feeder is optimal. In addition, reliability changes achieved by network configuration have demonstrated the importance of optimal configuration planning to improve the uninterrupted and sustainable energy quality of the system based on storage technology. INDEX TERMS Energy storage, Monte Carlo methods, power distribution faults, power system control, power system reliability.

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Section: The Reliability Indices Of Power Systemsmentioning

confidence: 99%

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Tür

2020

IEEE Access

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“…where,VP (i) is the voltage profile of i th bus, V min and V max are the minimum and maximum allowable voltages of the system and V nom is the nominal bus voltage (1.0 pu). The results of this cluster become a reference for applying the combination process with DG size as specified in (2), (3), and (4). In this test case, the best solutions for placing multiple DG-1 units are shown in Table II.…”

Section: B Optimal Multiple Of Multi-type Dgmentioning

confidence: 99%

“…The use of distributed generators (DG) on a scale of capacity and various types of innovation is becoming increasingly prevalent used in electric power systems. Technically, the benefits obtained from DG integration have been mentioned in previous studies, including reducing power losses, increasing reliability, improving stability, and improving the voltage profile [1]- [4].…”

Section: Introductionmentioning

confidence: 99%

Selection of Sensitive Buses using the Firefly Algorithm for Optimal Multiple Types of Distributed Generations Allocation

Rahman¹,

Manjang²,

Yusran³

et al. 2019

IJACSA

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Power loss is one aspect of an electric power system performance indicator. Loss of power can have an impact on poor voltage performance at the receiving end. DG integration in the network has become one of the more powerful methods. To get the maximum benefit from synchronizing the system with DG, it is necessary to ascertain the size, location, and type of DG. This study aims to determine the capacity and location of DG connections for DG type I and type II. To address the aim of this paper, a metaheuristic solution based on a firefly algorithm is used. FA can cover up the lack of metaheuristic algorithms that require a long computational time. To ensure that the load bus location solution is selected as the best DG connection location, the input of the load bus candidate has been filtered based on stability sensitivity. The proposed method is tested on IEEE 30 buses. The optimization results show a decrease in power loss and an increase in bus voltage, which affects an increase in system stability by integrating three DG units. FA validation of the evolution-based algorithm shows a significant reduction in computational time.

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“…Power system is designed to provide sufficient electrical power supply to the customers in its area with an acceptable level of the supply reliability [1,2]. Today, utilities try to maximize system reliability, improve efficiency, and reduce costs by using protection system, distributed generation system, by reconfiguring the feeder, by connecting the end of the feeder to other substation [3].…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment and Study the Effect of Substation Feeder Length on Failure Rate and Reliability Indices

Teshome¹,

Mabrahtu²

2020

EPES

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Today, utilities are trying to maximize system reliability, improve efficiency, and reduce costs by using protection system, distributed generation system, by reconfiguring the feeder, by connecting the end of feeder to other substation and so on. However, when it tries to use some techniques (reconfiguring the feeder, connecting the end of the feeder to another substation); the techniques have positive and negative impact on reliability improvement. The substation which is taken in this paper has the System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) is 521.46 interruptions per customer per year and 446.82 hours per customer per year respectively. The historical outage interruption data of the years of 2016-2018 has been used as a base year. The study has evaluated the new substation to improve the system reliability. The simulation results have been done with the help of Electrical Transient Analysis Program (ETAP 12.6) software. In this paper includes improvement of the system reliability of the feeder is supplied from two substations or new substation should be connected at the end of the feeder. Due to the new substation, the length of the feeder will vary, and the variation of the feeder has significant effect on power reliability. The value of SAIFI and SAIDI after the new substation connected is 169 and 96 respectively. Since the new substation has negative impact, the value of indices is not reduced more.

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Impact of Distributed Generation on the Reliability of Local Distribution System

Cited by 15 publications

References 15 publications

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Reliability Assessment of Distribution Power System When Considering Energy Storage Configuration Technique

Selection of Sensitive Buses using the Firefly Algorithm for Optimal Multiple Types of Distributed Generations Allocation

Reliability Assessment and Study the Effect of Substation Feeder Length on Failure Rate and Reliability Indices

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