Optimal coordination of overcurrent relays with constraining communication links using DE–GA algorithm

Bakhshipour, Mohammad; Namdari, Farhad; Samadinasab, Sajad

doi:10.1007/s00202-020-01205-1

Cited by 6 publications

(7 citation statements)

References 21 publications

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“…The DE‐GA algorithm [39] is applied to solve the optimal placement problem. In the initial point‐based optimization methods, the final answer strongly depends on that point.…”

Section: Simulation Resultsmentioning

confidence: 99%

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A novel approach for single and combined power quality disturbances detection using fundamental and harmonic phasors estimation model

Samadinasab

Jalilian

2022

IET Generation Trans & Dist

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The growing use of non‐linear loads is one of the main reasons for harmonic distortions in distribution systems. Power quality disturbances have caused improper performance of electrical equipment and have created many technical and economic problems for industries and customers. One approach to overcome these problems and also the correct detection of PQ disturbances is power quality monitoring (PQM). Measurement and estimation are two essential tools to understand and investigate PQ problems in distribution networks. Here, a new estimation model is used to simultaneously extract the fundamental and harmonic phasors information of the system. In other words, the proposed estimation model has been used to access system‐level data. Also, the recursive variational mode extraction (RVME) approach efficiency has been investigated for detecting power quality disturbances (PQDs). Finally, to validate the effectiveness of the proposed PQDs detection method, six different scenarios of disturbances are investigated. The IEEE 13‐bus and IEEE 34‐bus standard distribution test networks are used to evaluate the efficiency of the proposed method. Also, the real‐time PQ disturbances are used for validating the proposed PQDs detection method. Results obtained demonstrate the efficiency and high accuracy of the proposed approach in correctly diagnosing real‐time PQ disturbances.

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“…The DE‐GA algorithm [39] is applied to solve the optimal placement problem. In the initial point‐based optimization methods, the final answer strongly depends on that point.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…By solving the algorithm, the μPMU locations are chosen such that the network is fully observable and all the constraints of the location problem are met. The condition for stopping the algorithm is not to change the response for a high number of repetitions [39].…”

Section: Simulation Resultsmentioning

confidence: 99%

A novel approach for single and combined power quality disturbances detection using fundamental and harmonic phasors estimation model

Samadinasab

Jalilian

2022

IET Generation Trans & Dist

Self Cite

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“…Similarly, in [12], the optimal coordination of DOC relays was attained using a multi-verse optimization (MVO) algorithm, which demonstrated preeminent performance compared to the particle swarm optimization (PSO) algorithm. Recently, scholars have investigated hybrid approaches to tackle the problem of the optimal coordination of DOCRs [13][14][15][16][17]. The authors in [13] proposed a hybrid technique known as the simulated annealing-linear programming (SA-LP) to attain optimal coordination of DOCRs.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [15], optimization algorithms such as grey wolf optimization (GWO), grey wolf optimization (GWO-PSO), and interior point optimization were employed to optimize the operational time of a hybrid protection scheme. Additionally, in [16], a hybrid differential evolution-genetic algorithm (DE-GA) was utilized to optimize the settings of DOCRs by utilizing phasor measurement unit (PMU) data from a real-time wide-area measurement system. In [17], several algorithms including grey wolf optimization (GWO), enhanced grey wolf optimization (EGWO), hybrid whale and grey wolf optimization (HWGO), evolutionary optimization (EO), and flow direction algorithm (FDA) were employed to address the coordination problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Directional Overcurrent Relay Coordination in Distribution Networks for Optimal Operation Using Hybrid Genetic Algorithm with Sequential Quadratic Programming

Al-Bhadely,

İnan

2023

Energies

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In recent years, with the growing popularity of smart microgrids in distribution networks, the effective coordination of directional overcurrent relays (DOCRs) has presented a significant challenge for power system operators due to the intricate and nonlinear nature of their optimization model. Hence, this study proposes a hybrid GA-SQP algorithm to enhance the coordination of directional overcurrent relays (DOCRs) in radial and non-radial interconnected distributed power networks. The proposed approach combines the advantages of both the genetic algorithm (GA) and sequential quadratic programming (SQP) methods to optimize the objective function of relay coordination in the best manner. Thus, the proposed hybrid techniques improved the convergence of the problem and increased the likelihood of obtaining a globally optimal solution. Finally, to validate the effectiveness of the proposed algorithm, it was tested through three case studies involving the IEEE 3-Bus, 8-Bus, and modified 30-Bus distribution networks. In addition, the results were compared to those obtained using previous methods. The results obtained from the comparison of the proposed method and recent advanced research indicate that the proposed optimization approach is preeminent in terms of accuracy and total operating time as well as the continuity of the minimum margin time requirements between the primary/backup relay pairs.

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“…Recently, nature-inspired algorithms and artificial intelligence-based algorithms have been widely used because they achieve the same task in a relatively short time and lead to nearto global minimum coordination (albeit they cannot guarantee the finding of a global optimum solution). These include Firefly algorithm [23], Particle Swarm Optimization (PSO) [24,25], Ant Colony Optimization [26], Evolutionary programming [27], Gray-wolf optimizer [28], Fuzzy logic [29], Learning based optimization [30], hybrid approaches [31][32][33][34][35] and Genetic algorithm [5,32,[36][37][38][39].…”

Section: Previous Research On Ocr Operation Optimization Techniquesmentioning

confidence: 99%

A Comprehensive Assessment of Fundamental Overcurrent Relay Operation Optimization Function and Its Constraints

Rojnić

Prenc

Bulat³

et al. 2022

Energies

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The optimization of overcurrent relays’ operation is a topic associated with protection coordination of distribution networks. Usually, this refers to medium-voltage networks, since they are protected by numerical relay devices, as opposed to low-voltage networks, where utility operators allocate fuses. Correct setting of relays and optimal coordination is becoming a serious challenge to Distribution Network Operators around the world, since their networks’ passive operation has been greatly altered in the past two decades. Distributed generation units, a growing liberalized electricity market and more stringent legislation for distribution network planning and operation by state regulatory bodies have all indirectly affected the evolving of protection philosophy for distribution networks. In this paper the traditional optimization problem of overcurrent relay operation will be addressed and critically examined from both a theoretical and practical point of view. Optimization function, constraints and relay parameters will all be observed and compared with solutions used in distribution networks, and their modifications and improvements will be proposed and elaborated in detail.

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Optimal coordination of overcurrent relays with constraining communication links using DE–GA algorithm

Cited by 6 publications

References 21 publications

A novel approach for single and combined power quality disturbances detection using fundamental and harmonic phasors estimation model

A novel approach for single and combined power quality disturbances detection using fundamental and harmonic phasors estimation model

Improving Directional Overcurrent Relay Coordination in Distribution Networks for Optimal Operation Using Hybrid Genetic Algorithm with Sequential Quadratic Programming

A Comprehensive Assessment of Fundamental Overcurrent Relay Operation Optimization Function and Its Constraints

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