Minimize the load reduction considering the activities control of the generators and phase distance

Nghia, Le Trong; Anh, Quyen Huy; Binh, Phan Thi Thanh; Tan, Phung Trieu

doi:10.11591/ijece.v11i2.pp993-1001

Cited by 1 publication

(3 citation statements)

References 20 publications

(28 reference statements)

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“…The suggested technique is experimented on the IEEE-37 bus with 9 generators and 26 loads bus electrical system [17], [26]. The simulation is processed on the PowerWorld 19.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…After this process end, if the frequency is even not within the allowable parameter, then load reduction have to perform. Details of these processes have been presented in [17]. Computing the minimum shedding power helps to minimize damage to customers while restoring the frequency to the allowable value.…”

Section: Methods 21 Optimal Quantity Of Load Reduction Capacitymentioning

confidence: 99%

“…Computing the minimum shedding power helps to minimize damage to customers while restoring the frequency to the allowable value. In [17], the optimum amount of load reduction capacity is expressed as (1):…”

Section: Methods 21 Optimal Quantity Of Load Reduction Capacitymentioning

confidence: 99%

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A hybrid approach of artificial neural network-particle swarm optimization algorithm for optimal load shedding strategy

Phung

Quyen

et al. 2022

IJECE

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This paper proposes an under-frequency load shedding (UFLS) method by using the optimization technique of artificial neural network (ANN) combined with particle swarm optimization (PSO) algorithm to determine the minimum load shedding capacity. The suggested technique using a hybrid algorithm ANN-PSO focuses on 2 main goals: determine whether process shedding plan or not and the distribution of the minimum of shedding power on each demand load bus in order to restore system’s frequency back to acceptable values. In the hybrid algorithm ANN-PSO, the PSO algorithm takes responsible for searching the optimal weights in the neural network structure, which can help to optimize the network training in terms of training speed and accuracy. The distribution of shedding power at each node considering the primary control and secondary control of the generators’ unit and the phase electrical distance between the outage generators and load nodes. The effectiveness of the proposed method is experimented with multiple generators outage cases at various load levels in the IEEE-37 Bus scheme where load shedding cases are considered compared with other traditional technique.

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“…The suggested technique is experimented on the IEEE-37 bus with 9 generators and 26 loads bus electrical system [17], [26]. The simulation is processed on the PowerWorld 19.…”

Section: Simulation and Resultsmentioning

confidence: 99%

Section: Methods 21 Optimal Quantity Of Load Reduction Capacitymentioning

confidence: 99%