The optimal coordination of over-current relay protection in radial network based on Particle Swarm Optimization

Kheshti, Mostafa; Tekpeti, Browh Serge; Kang, Xiaoning

doi:10.1109/appeec.2016.7779575

Cited by 19 publications

(15 citation statements)

References 16 publications

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“…Reducing the relay pick‐up current to mitigate this maloperation can induce more severe maloperation. Indeed, the relay may become very sensitive and consequently may trip unnecessarily …”

Section: Protection Challengesmentioning

confidence: 99%

“…In Figure C, the CB CB2 is operating in sympathy with the CB CB1. It means, for a fault in feeder 1, instead of CB1 tripping to isolate the faulty section, CB2 will be the one to trip because of CB1 maloperation against fault in its zone of protection …”

Section: Protection Challengesmentioning

confidence: 99%

“…Indeed, the relay may become very sensitive and consequently may trip unnecessarily. 3,9,16,[24][25][26]…”

Section: Blinding Of Protection Devicementioning

confidence: 99%

See 2 more Smart Citations

Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Tekpeti

Kang

Kheshti

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper presents photovoltaic (PV) systems modeling and fault analysis with solar energy fluctuation to discuss maximum fault current profiles. The modeled PV farm is arranged with series and parallel PV modules to offer 6.5 kV power. Two‐level 3‐phase voltage source inverter (VSI) and dc‐dc boost converter are used for all PV systems with LCL filter. A current control strategy using synchronous rotating frame method is implemented with park transformation approach. Average and aggregate models give inaccuracy, which this paper overcomes with accurate isolated single PV system, and PV‐dominated feeder. Pulse width modulation and sinusoidal pulse width modulation techniques are applied. Incremental conductance maximum power point tracking technique is used to extract PV maximum power. Phase locked loop technique for grid synchronization and proportional integral voltage control technique are also applied. Here, the maximum fault current corresponds to the maximum phase current at specified time. This simple and effective method is applied on PSCAD software simulations to collect the data. Discussions on obtained results showed short‐time irradiation fluctuation impacts on fault current profiles and argue on related aspects. The data comments and explanations to address analyzed protection challenges with PV penetration in distribution system are very promising.

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Section: Protection Challengesmentioning

confidence: 99%

Section: Protection Challengesmentioning

confidence: 99%

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Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Tekpeti

Kang

Kheshti

et al. 2018

Int Trans Electr Energ Syst

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“…Application of metaheuristic algorithms on power system protection and particularly, DOCR coordination in distribution networks has been introduced in literature such as PSO [3,16], Harmony Search Algorithm (HSA) [17], Cuckoo Algorithm [18], chaotic firefly algorithm [19], differential evolution [20] and so on.…”

Section: Introductionmentioning

confidence: 99%

Particle Swarm Optimization Solution for Power System Operation Problems

Kheshti¹,

Ding²

2018

Particle Swarm Optimization With Applications

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Application of particle swarm optimization (PSO) algorithm on power system operation is studied in this chapter. Relay protection coordination in distribution networks and economic dispatch of generators in the grid are defined as two of power system-related optimization problems where they are solved using PSO. Two case study systems are conducted. The first case study system investigates applicability of PSO on providing proper overcurrent relay settings in the grid, while in the second case study system, the economic dispatch of a 15-unit system is solved where PSO successfully provides the optimum power output of generators with minimum fuel costs to satisfy the load demands and operation constraints. The simulation results in comparison with other methods show the effectiveness of PSO against other algorithms with higher quality of solution and less fuel costs on the same test system.

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“…Different solutions have been studied to address this complex issue such as simplex method [2,3], graphical selection procedure [4], and application of several optimization algorithms which among them, particle swarm optimization (PSO) [5][6][7][8][9], bee colony algorithm (BCA) [10], genetic algorithm (GA) [11,12], differential evolution (DE) method [13], ant colony optimization (ACO) [14] and etc., have been presented. Although these methods have been investigated for relay coordination issue, in a medium and large scale power system the application of such methods are quite time consuming [15] and in some cases completely difficult and due to this reason meta-heuristic algorithms are not able to sufficiently and quickly process the coordination in practice.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Fast Relay Coordination Method to Bypass the Time Consumption of Optimization Algorithms in Relay Protection Coordination

Kheshti¹,

Kang²,

Jiao³

2017

Journal of Electrical Engineering and Technology

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-Relay coordination in power system is a complex problem and so far, meta-heuristic algorithms and other methods as an alternative approach may not properly deal with large scale relay coordination due to their huge time consuming computation. In some cases the relay coordination could be unachievable. As the urgency for a proper approach is essential, in this paper an innovative and simple relay coordination method is introduced that is able to be applied on optimization algorithms for relay protection coordination. The objective function equation of operating time of relays are divided into two separate functions with less constraints. As the analytical results show here, this equivalent method has a remarkable speed with high accuracy to coordinate directional relays. Two distribution systems including directional overcurrent relays are studied in DigSILENT software and the collected data are examined in MATLAB. The relay settings of this method are compared with particle swarm optimization and genetic algorithm. The analytical results show the correctness of this mathematical and practical approach. This fast coordination method has a proper velocity of convergence with low iteration that can be used in large scale systems in practice and also to provide a feasible solution for protection coordination in smart grids as online or offline protection coordination.

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The optimal coordination of over-current relay protection in radial network based on Particle Swarm Optimization

Cited by 19 publications

References 16 publications

Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Modeling and fault analysis of solar photovoltaic grid-connected systems under solar radiation fluctuation consideration

Particle Swarm Optimization Solution for Power System Operation Problems

An Innovative Fast Relay Coordination Method to Bypass the Time Consumption of Optimization Algorithms in Relay Protection Coordination

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