Effects of switch type and location on the reliability of power distribution systems considering distributed generation

Heidari, Alireza; Agelidis, Vassilios G.; Naderi, Mohammad Salay

doi:10.1109/icit.2013.6505759

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…The calculation methods for the portions of the loads that are distributed upstream and downstream of the DGs are different. As in [20], in this paper all DG units are located at the end of the feeders so that all loads in the feeder are located downstream of the DG. However, islanding will be possible when DGs do not have faults and their generation capacity is higher or at least equal to the load demand within the island.…”

Section: Dg Impact On the Optimal Switch Placement Problemmentioning

confidence: 99%

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Heidari

Agelidis

Kia

2015

IEEE Trans. Power Delivery

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Introducing distributed generation (DG) into distribution networks can affect the problem of optimal switch placement. A method for solving the problem of optimal placement of sectionalizing switches with large number of DG is presented. The primary objective is to minimize the total cost of achieving a certain level of reliability in the presence of DG. The problem is formulated using mixed-integer linear programming to determine the optimal number and location of sectionalizing switches. Allowing DG to operate in an island mode is also considered. The effectiveness of the proposed formulation is examined on a modified reliability test system. The presented results indicate that the proposed formulation can provide a global optimum solution for the problem of sectionalizing switch placement, while reliability, capital investment and annual operation and maintenance costs are considered. Furthermore, DG can play a key role providing a reasonable improvement in the reliability indices of the system.

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Section: Dg Impact On the Optimal Switch Placement Problemmentioning

confidence: 99%

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Heidari

Agelidis

Kia

2015

IEEE Trans. Power Delivery

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“…SAIDI is used to quantify the amount of time, on average, customers' electricity is disrupted. Although SAIDI incorporates information that can be influenced by other factors outside of animal interactions such as the repair time required by various means of infrastructure design and maintenance strategies [33,34,3], we measure the severity of AROs with SAIDI to test whether animal activity is an indicator of electrical system reliability for grid managers. SAIDI was measured in minutes and is calculated as…”

Section: Power Outage Datamentioning

confidence: 99%

Analysis of animal-related electric outages using species distribution models and community science data

Feng¹,

Owolabi²,

Schafer³

et al. 2021

Preprint

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1. Animal-related outages (AROs) are a prevalent form of outages in electrical distribution systems. Animal-infrastructure interactions vary across focal species and regions, underlining the need to study the animal-outage relationship in more species and diverse systems.2. Animal activity has been used as an indicator of reliability in the electrical grid system and to describe temporal patterns in AROs. However, these ARO models have been limited by a lack of available estimates of species activity, instead approximating activity based on seasonal and weather patterns in animal-related outage records and characteristics of broad taxonomic groups, e.g., squirrels.3. We highlight publicly available resources to fill the ecological data gap that is limiting joint analyses between ecology and energy sectors. Species distribution models (SDMs), a common technique to model the distribution of a species across geographic space and time, paired with data sourced from eBird, a community science database for bird observations, provided us with species-specific estimates of activity to model spatio-temporal patterns of AROs. These flexible, species-specific estimates can allow future animal-indicators of grid reliability to be investigated in more diverse regions and ecological communities, providing a better understanding of the variation that exists in animal-outage relationship. 4. AROs were best modeled by accounting for multiple outage-prone species 2 activity patterns and their unique relationships with seasonality and habitat availability.5. Different species were important for modeling outages in different landscapes and seasons depending on their distribution and migration behavior.6. We recommend that future models of AROs include species-specific activity data that account for the diverse spectrum of spatio-temporal activity patterns that outage-prone animals exhibit.

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“…In this paper, the failure mode effect analysis method according to [27] is adopted to calculate the reliability indices of the power distribution network. The following are evaluated to assess the impact on the system reliability: 1) system average interruption frequency index (SAIFI); and 2) system average interruption duration index (SAIDI).…”

Section: F Reliability Analysismentioning

confidence: 99%

“…As the DGRESs should be distributed as close as possible to the end of the feeders in the system, the reliability calculation methods for the loads that are distributed upstream and downstream of the DGRESs are different. In this paper, all DGRESs are located at the end of the feeders so that all loads are downstream, as proposed in [27]. However, the subisland will be successful when the output of the DGRESs is greater or equal to the load demand in the subislanded zone and protective devices operate successfully.…”

Section: F Reliability Analysismentioning

confidence: 99%

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

Heidari

Agelidis

Zayandehroodi

et al. 2016

IEEE Trans. Smart Grid

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The paper presents a subislanding approach based on two algorithms, a backtracking algorithm, which is used to detect the exact location of distributed generation based on renewable energy sources (DGRESs) to establish subislands in the distribution networks and a protection co-ordination algorithm, which is used to identify the fault location. The IEEE reliability busbar test system is used for algorithm qualification, with several case studies and sensitivity analyses employed to verify the proposed algorithms. The probabilistic-based analytical technique along with the customer interruption cost model is then used to evaluate reliability improvements. The results presented in the paper indicate that the proposed approach is effective in increasing the reliability of power distribution systems with high penetration of DGRESs while providing an online reliability assessment. From 2006 to 2012, he was with the Faculty of Engineering, University of Zabol, Zabol, Iran. His current research interests include power system operation, power system security and reliability, renewable energy resource, and application of optimization in power systems. Vassilios G. Agelidis (S'89-M'90-SM'00) received the B.Eng. degree in electrical engineering from the Democritus University of Thrace, Xanthi, Greece, in 1988; the M.S. degree in applied

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Effects of switch type and location on the reliability of power distribution systems considering distributed generation

Cited by 10 publications

References 18 publications

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Considerations of Sectionalizing Switches in Distribution Networks With Distributed Generation

Analysis of animal-related electric outages using species distribution models and community science data

On Exploring Potential Reliability Gains Under Islanding Operation of Distributed Generation

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