Parameter uncertainty in the optimal coordination of overcurrent relays

Noghabi, Abbas Saberi; Sadeh, Javad; Mashhadi, Habib Rajabi

doi:10.1002/etep.2563

Cited by 13 publications

(4 citation statements)

References 22 publications

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“…Generally, the protected line's impedance values are determined through calculations in which the soil resistivity, towers and conductor heights, conductors' transpositions, towers geometry, and spacing between consecutive towers are assumed as constants. However, these assumptions introduce uncertainties and errors to the actual line's parameters in practical cases [36].…”

Section: Uncertainties and Errors In Line Parametersmentioning

confidence: 99%

Transmission Line Distance Protection Algorithm Based on Bayesian Inference

Tiferes

Manassero

2022

International Transactions on Electrical Energy Systems

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This paper presents a distance protection method based on estimating the resistances and inductances seen by the relay using a least-squares (LS) approach combined with the application of Bayesian inference (BI) to determine fault probabilities in the protected zone over time. The use of BI in the presented algorithm increases the security and reliability of the LS-based line protection approach, which, although fast, may yield impedance estimates with numerical inaccuracies and therefore configures a solution capable of detecting faults internal to the protected zone rapidly and dependably. The authors tested the proposed algorithm using data sets obtained from transmission line fault simulations performed in Alternative Transients Program (ATP), which considered noisy measurements, current transformer (CT) saturation, capacitive-coupling voltage transformer (CCVT) transients, switching onto fault, close-in faults, frequency variations, uncertainties in the line’s parameters, and power swings. Furthermore, the authors tested the presented method against measurements recorded by field protection equipment during seventy-nine actual fault events on four existing 500 [kV] lines. The results indicate that the proposed algorithm is a fast, secure, and reliable distance protection solution and that using BI to the LS-based distance protection approach increases security while maintaining fast fault detection.

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Section: Uncertainties and Errors In Line Parametersmentioning

confidence: 99%

Transmission Line Distance Protection Algorithm Based on Bayesian Inference

Tiferes

Manassero

2022

International Transactions on Electrical Energy Systems

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“…The operating time t of a directional overcurrent relay is an inverse function of the short-circuit current [50]. The equation that models the operation of the numerical inverse time overcurrent relay is defined by two parameters, i.e ; the delay time TDS or the delay factor TMS, the value of TMS usually varies between 0.1 to 1.1 s [51] and the pickup current Ip, which is the minimum current value above which the relay will start to operate [52]. This function has two constants, A represents the constant for the relay characteristics and B represents the inverse time type, which are defined as 0.14 and 0.02 respectively [53], [54].…”

Section: Relay Characteristicsmentioning

confidence: 99%

Impact of distributed power generation on protection coordination in distribution network

Idrissi

Mariami

Belfqih

et al. 2021

IJEECS

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<p>In the whole world and especially in Morocco, the electric power sector faces significant challenges and the demand for energy is increasing as fossil fuel sources are disappearing. Moreover, the high cost of construction of large production plants and the obligation to reduce greenhouse gas emissions are among the factors pushing the energy sector to integrate distributed generators DGs based on renewable energies into power grids. However, the integration of these generators increased the values of short-circuit currents in the network, which poses a real threat to the existing protection coordination systems in the distribution network. The aim of this article is to bring together in a single platform all available research addressing the issue of protection coordination in the presence of DGs in the distribution network, in order to help researchers identify future scope. This paper presents a review of the impact of distributed generators on the protection coordination of distribution networks. The solutions proposed in the literature, to mitigate the negative impact of DGs, have been investigated in detail, along with the limitations of these proposed techniques.</p>

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“…The second case study implemented is IEEE 30-bus system that consists of 76 overcurrent relays as shown in figure 5 [36]. The streamlined TDS values are appeared table 6 and the result has been compared with the literature.…”

Section: B Ieee 30-bus Systemmentioning

confidence: 99%

“…In reference [28], adaptive protection coordination scheme using numerical directional overcurrent relays. In [29]- [36] Optimal Coordination of DOCRs had been implemented Using different optimizers. In [37] the problem of DOCRs in a power system is handled with the firefly algorithm (FA).…”

Section: Introductionmentioning

confidence: 99%

Improved Firefly Algorithm for the Optimal Coordination of Directional Overcurrent Relays

et al. 2019

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In an electrical power network linear and non-linear models are used for directional overcurrent relay (DOCR) coordination issue by applying different heuristic techniques. Nature inspired algorithms (NIA) have found great interest in power system optimization issues. This paper proposes the recently developed meta-heuristic technique known as Firefly Algorithm (FA) that mimics the flashing behavior of fireflies. The implementation of the proposed algorithm has been utilized to solve the coordination of DOCR problems. The main aim of this paper is to find out the optimum values of the Time Dial Setting (TDS) to minimize the relay operating time. The modifications to original FA has been implemented in this paper to solve the DOCR coordination issues. Self-adaptive weight and experience-based learning strategy are added in the original FA, named as improved firefly algorithm (IFA). In IFA, a self-adaptive weight is presented to change the propensity of moving the best solution and ignoring the worst solution. In addition, an experiencebased learning system is created and utilized arbitrarily to keep up the populace-assorted variety and improve the exploration capacity. The IFA has been tested on IEEE 6 and 30-bus systems and tested on IEEE 9bus system for numerical DOCRs and the results had been compared with results of Whale optimization algorithm to validate the performance of IFA in case of numerical DOCR. The obtained results show that the IFA provides efficient and promising results compared to other meta-heuristic techniques mentioned in the literature. The IFA has been successfully implemented on MATLAB software programming. INDEX TERMS Improved firefly algorithm (IFA), directional overcurrent relay coordination (DOCR), time dial setting (TDS), power system protection.

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Parameter uncertainty in the optimal coordination of overcurrent relays

Cited by 13 publications

References 22 publications

Transmission Line Distance Protection Algorithm Based on Bayesian Inference

Transmission Line Distance Protection Algorithm Based on Bayesian Inference

Impact of distributed power generation on protection coordination in distribution network

Improved Firefly Algorithm for the Optimal Coordination of Directional Overcurrent Relays

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