Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect

•Salp swarm algorithm (SSA) is applied for fine-tuning of PID parameters.•System nonlinearity and wind farms uncertainty are considered.•The effect of cross-coupling between the excitation and LFC loop is investigated.•Real wind speed data and real sun irradiations are utilised for realistic studies...

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Bibliographic Details
Published in:Electric power systems research Vol. 176; p. 105938
Main Authors: Hasanien, Hany M., El-Fergany, Attia A.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.11.2019
Elsevier Science Ltd
Subjects:
Algorithms
Alternative energy
Constraint modelling
Control methods
Controllers
Cross coupling
Delay time
Excitation
Field tests
Frequency control
Hybrid systems
Load frequency control
Measuring instruments
Multiple objective analysis
Nonlinear analysis
Nonlinear systems
Nonlinearity
Optimization
Optimization methods
Power system control and dynamics
Proportional integral derivative
Renewable energy sources
Turbines
Wind power
Wind speed
Renewable energy sources
Load frequency control
Power system control and dynamics
Optimization methods
ISSN:0378-7796, 1873-2046
Online Access:Get full text
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Summary:•Salp swarm algorithm (SSA) is applied for fine-tuning of PID parameters.•System nonlinearity and wind farms uncertainty are considered.•The effect of cross-coupling between the excitation and LFC loop is investigated.•Real wind speed data and real sun irradiations are utilised for realistic studies.•The dynamic responses are investigated and analyzed plus comparisons. This paper proposes a new application of the salp swarm algorithm (SSA) to fine-tune the gains of proportional-integral-derivative (PID) controllers of load frequency control (LFC) of a multi-area hybrid renewable nonlinear power system. To analyze the system nonlinearity, a dead-band is implemented in the governor model, a generation rate constraint is employed with the turbine model, and a communication delay time of phase measuring unit devices is carried out in the secondary automatic LFC loop. An exact model is established to take into consideration the effect of cross-coupling between the excitation control system and LFC loop. A single and multi-objective functions are performed to test the validity of the proposed controllers. To obtain a more realistic study, real wind speed data are involved in the wind farm model and real sun irradiations for a photovoltaic system that captured from a field test are incorporated to check the validity of the SSA-PID controllers under power system nonlinearities and renewable energy sources variability and uncertainties. The effectiveness of SSA-PID controller is compared with other optimization methods based-PID controller under several operating conditions. With the proposed controller, the LFC dynamic responses of multi-area hybrid nonlinear power systems shall be further enhanced.
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ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.105938