Evaluation of the impacts of relay coordination on power system reliability

Jazaeri, Mostafa; Farzinfar, Mehdi; Razavi, Farzad

doi:10.1002/etep.2042

Cited by 16 publications

(9 citation statements)

References 25 publications

(38 reference statements)

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“…On the other hand, Monte Carlo simulations can provide a probabilistic approach to the same objective by generating a chronological sequence of random events, thus building the history of each component over a given period. It can create a significant sample of system behavior for several years 7,27,30 …”

Section: Monte Carlo Reliability Assessmentmentioning

confidence: 99%

“…In this case, it is possible to identify and correct critical situations, but the quality of service of the network is not evaluated using reliability indices, despite mentioning that the quality of service improves with the addition of DG. Another author 7 studies the negative impact of the malfunctioning of the protection system, caused by delayed operations of some relays, on the reliability of the system. He used an algorithm based on Markov and Monte Carlo methods, although it does not consider the addition of DG to the network.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of service quality of distribution systems with critically located generators

Abreu

Martins

2021

Int Trans Electr Energ Syst

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Summary One of the main goals of distributed generation (DG) is to ensure excellent quality of service, without affecting the existing protection system. This study addresses the quality of service in radial electricity networks with distributed generators and assesses the effect of additional distributed generators on the continuity of supply. It is based on a previous identification of the network locations of DG that lead to a loss of protection coordination in the occurrence of faults corresponding to critical cases. Such circumstances are scarcely analyzed in the literature. The proposed methodology is based on a 2‐fold approach and uses an analytical method and a Monte Carlo simulation to study the behavior of an IEEE test network. Two situations, one without and one with distributed generators, are compared and analyzed. The load power and generation capacity values of the distributed injections were assumed to be constant for the purpose of simplification. Studying the worst‐case scenario of the impact of DG on the quality of service of the network can help support the distribution network operator when making investment‐related decisions for the protection system. The obtained results demonstrate the impact of DG on the quality of service of the distribution network. Small capacity additions at locations that are not identified as critical may improve the quality of service. On the other hand, a worse performance is observed when generation additions corresponding to the critical cases cause a loss of coordination in the existing protection system.

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Section: Monte Carlo Reliability Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of service quality of distribution systems with critically located generators

Abreu

Martins

2021

Int Trans Electr Energ Syst

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“…In solving the presented allocation problem, as in the charging/discharging schedule problem, a combination of the sequential Monte Carlo and optimization methods has been used. The Monte Carlo method is adopted to obtain the load model, electricity price model and ENS index because these components have an uncertain nature [43].…”

Section: Details Of the Proposed Evcs Allocation Strategymentioning

confidence: 99%

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

et al. 2020

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Modeling and allocation of the Electric vehicles Charging Stations (EVCS) within the distribution network, as per the growing use of Electric vehicles (EVs) is a challenging task. In this paper, to manage the EVCS, first, with the aim of peak shaving, valley filling, and flattening the load curve of the network, the optimal planning of EV's charging/discharging is devised. In this regard, after modeling involving random variables, a novel hybrid method, based on the Multi Objective Particle Swarm Optimization (MOPSO) optimization algorithm and sequential Monte Carlo simulation is presented. The purpose of the presented optimal charge/discharge schedule is to control the rate and time of charging/ discharging of EVs. In the proposed model, various battery operation strategies, including Uncontrolled Charging Mode (UCM), Controlled Charging Mode (CCM), and Smart Charge/Discharge Mode (SCDM) are also considered. In the next step, in order to implement the charge/discharge schedule of the EVCS profitably, a new formulation is presented for the allocation of two EVCSs (administrative and residential EVCS). In the proposed formulation, various objective functions such as power loss reduction, reducing power purchases from the upstream network, reducing voltage deviation in buses, improving reliability is addressed. Moreover, to incentivize the owner to construct the EVCS with adopted charging/discharging schedule, the optimal profits sharing between Distribution System Operator (DSO) and EVCS owner is also performed. The proposed formulation is applied to a standard network (IEEE 69 buses) and encouraging results are achieved.

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“…This issue, which is one of the negative sides of an increase in DER penetration, may interrupt in coordination among protective devices. Moreover, it can cause the overall fault current to exceed the designed capability level of distribution components, like CBs, and so degrading the reliability [19]. Replacement of all the feeders' CBs of an HV substation may be required in these situations.…”

Section: Introductionmentioning

confidence: 99%

Determination of Optimal Allocation and Penetration Level of Distributed Energy Resources Considering Short Circuit Currents

Farzinfar

Shafiee

Meysam

et al. 2020

IJE

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The integration of Distributed Energy Resources (DER) in the distribution network has plenty of advantages if their allocation and Penetration Level (PL) are done appropriately. Hence, the challenge of finding the best allocation and PL of DERs in large distribution networks is an important but intricate problem. This paper proposes a novel methodology to simultaneously determine the optimal location/capacity and PL of DERs based on both power losses and voltage deviation minimization, while constraints of voltage profile of feeders under light loading and short circuit capability of the CBs are met. Moreover, a Multi-Objective Mutation based PSO (MOMPSO) is presented that by introducing two modifications of dynamic inertia weight and utilizing a mutation operator improves exploration and exploitation searchability as well as convergence capability of the PSO algorithm. The proposed methodology is tested on a practical distribution network to evaluate its effectiveness in finding optimal location and capacity of DERs along with the feeders.

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Evaluation of the impacts of relay coordination on power system reliability

Cited by 16 publications

References 25 publications

Evaluation of service quality of distribution systems with critically located generators

Evaluation of service quality of distribution systems with critically located generators

Optimal Allocation of Electric Vehicle Charging Stations With Adopted Smart Charging/Discharging Schedule

Determination of Optimal Allocation and Penetration Level of Distributed Energy Resources Considering Short Circuit Currents

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