Coordination of distance and directional overcurrent relays using an extended continuous domain ACO algorithm and an hybrid ACO algorithm

Rivas, Angel Esteban Labrador; Pareja, Luis Alfonso Gallego; Abrão, Taufik

doi:10.1016/j.epsr.2019.01.032

Cited by 49 publications

(23 citation statements)

References 28 publications

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“…The boundary on the operating time for zone‐2 of distance relays can be expressed as follows [10]:

\begin{equation} {T}_{z - 2_{lower}}^m \le {T}_{z - 2}^m \le {T}_{z - 2_{upper}}^m \end{equation}

…”

Section: Problem Formulationmentioning

confidence: 99%

“…The coordination of protective relays is the process of determining the proper relay settings so that the primary relays will rapidly clear the fault in their zone to minimize system outages [8]. In case of the primary protection relays are unsuccessful in operating, backup protection relays are required to isolate the defective components after a delay period known as the coordination time interval (CTI) [9,10].…”

Section: Introductionmentioning

confidence: 99%

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Optimal coordination of distance relays and non‐standard characteristics for directional overcurrent relays using a modified African vultures optimization algorithm

Korashy

Kamel

Eslami

2023

IET Generation Trans & Dist

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Here, an improved version of an African vultures optimization algorithm (AVOA), known as MAVOA is applied to solve the coordination issue between distance relays and directional overcurrent relays (DOCRs). The suggested method enhances the balance between exploration and exploitation features for the AVOA algorithm in order to find the optimal DOCR settings and operating time for zone‐2 distance relays. In 8‐bus, IEEE 30‐bus, and IEEE 39‐bus networks, the ability of the MAVOA technique to find the optimal solution for the coordination between DOCRs and distance relays is evaluated. Both MAVOA and AVOA algorithms are assessed in the case of standard and non‐standard DOCR characteristic curves. The results indicate the significant superiority of the suggested MAVOA algorithm in solving the coordination issue of the combined DOCR and distance relays. The reduction in operating time for DOCRs and zone‐2 of distance relays decreased by about 30% compared to the conventional AVOA technique. The results also prove the MAVOA's superiority over the recently developed algorithm and other algorithms in solving the coordination problem of the combined DOCRs and distance relays. Additionally, the total operating time for the non‐standard characteristic curve for DOCRs results in a reduction of the overall operating time of primary relays of more than 15%.

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“…The boundary on the operating time for zone‐2 of distance relays can be expressed as follows [10]:

\begin{equation} {T}_{z - 2_{lower}}^m \le {T}_{z - 2}^m \le {T}_{z - 2_{upper}}^m \end{equation}

…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal coordination of distance relays and non‐standard characteristics for directional overcurrent relays using a modified African vultures optimization algorithm

Korashy

Kamel

Eslami

2023

IET Generation Trans & Dist

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“…The Comparison of the developed method over conventional methods is detailed in Table 3. Here, the parameters of TDS, PS, coordination time and overall operating time are compared with the conventional RW-GWO [21], mixed nonlinear programming (MINLP) [26], and convexified linear programming (CLP) [5] methods. The comparison shows that the proposed method has highly diminished the overall operating interval than other old methods.…”

Section: Case1: Ieee 9 Bus Networkmentioning

confidence: 99%

“…However, an effective solution is not achieved by those techniques. For this reason, Rivas et al [26] projected a new random walk based grey wolf optimizer (RW-GWO) method for the optimal solution for high complex issues in power system. However, the problem-solution accuracy is very low.…”

Section: Introductionmentioning

confidence: 99%

Protection coordination of directional over current relay with distributed generation

Tripathi¹,

Gupta²,

Ranjan

et al. 2022

IJEECS

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The present <span lang="EN-US">study is focussed on a comparative analysis of different meta-heuristic optimization approaches for directional overcurrent relay (DOCRs) coordination which has been discussed and presented in the literature. Further, to have a comparative analysis of the performance of the optimization methods discussed they have been tested on power system network of different sizes. To overcome such issues, this work proposed a simplex linear programming technique-based overcurrent relay method using general algebraic modelling system (GAMS). The execution of this work is done on the MATLAB 2018 a platform. Based on the obtained result the best meta-heuristic optimization method for mitigating the problem of relay coordination has been identified. Nevertheless, the operating time of the relay is high, so the fault is not corrected at a time. The developed model has been tested on test system of different sizes namely IEEE 9 bus and IEEE 14 bus system. The obtained values through series of simulation are compared with different methods for proving the proposed protection coordination scheme is more effective and efficient than others in terms of operating time and coordination time.</span>

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“…To imitate this, the artificial in ACO ants performs a mobile search through positive feedback of volatility accumulation of pheromones to select the optimal path, which can avoid falling into the local optimum. Therefore, the key of the ACO lies in the movement rules and pheromone update [45][46][47][48]. The detailed steps of ACO-SVR are as follows:…”

Section: Ant Colony Optimizationmentioning

confidence: 99%

A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area

Zhang

Tang

Wen

et al. 2020

Sensors

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Accurately predicting the surface displacement of the landslide is important and necessary. However, most of the existing research has ignored the frequency component of inducing factors and how it affects the landslide deformation. Therefore, a hybrid displacement prediction model based on time series theory and various intelligent algorithms was proposed in this paper to study the effect of frequency components. Firstly, the monitoring displacement of landslide from the Three Gorges Reservoir area (TGRA) was decomposed into the trend and periodic components by complete ensemble empirical mode decomposition (CEEMD). The trend component can be predicted by the least square method. Then, time series of inducing factors like rainfall and reservoir level was reconstructed into high frequency components and low frequency components with CEEMD and t-test, respectively. The dominant factors were selected by the method of dynamic time warping (DTW) from the frequency components and other common factors (e.g., current monthly rainfall). Finally, the ant colony optimization-based support vector machine regression (ACO-SVR) is utilized for prediction purposes in the TGRA. The results demonstrate that after considering the frequency components of landslide-induced factors, the accuracy of the displacement prediction model based on ACO-SVR is better than that of other models based on SVR and GA-SVR.

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Coordination of distance and directional overcurrent relays using an extended continuous domain ACO algorithm and an hybrid ACO algorithm

Cited by 49 publications

References 28 publications

Optimal coordination of distance relays and non‐standard characteristics for directional overcurrent relays using a modified African vultures optimization algorithm

Optimal coordination of distance relays and non‐standard characteristics for directional overcurrent relays using a modified African vultures optimization algorithm

Protection coordination of directional over current relay with distributed generation

A Hybrid Landslide Displacement Prediction Method Based on CEEMD and DTW-ACO-SVR—Cases Studied in the Three Gorges Reservoir Area

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