Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller

Dhillon, Sukhwinder Singh; Lather, J. S.; Marwaha, Sanjay

doi:10.1016/j.ijepes.2016.01.012

Cited by 105 publications

(61 citation statements)

References 27 publications

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“…[29], four PID controllers based on genetic algorithm were utilized to diesel generator, WTG system, solar photo voltaic system, energy storage system (ESS) in a hybrid microgrid. However, these advanced tuning methods have a large amount of calculation and complex structure which is not easy to implement in practical microgrid system [30]. Therefore, it is necessary to propose a method which simple in structure and calculation which also has better effect in frequency control of microgrid.…”

Section: The Microgrid System With Renewable Energy Provides a Flexiblementioning

confidence: 99%

Frequency Control of Isolated Wind-Diesel Microgrid Power System by Double Equivalent-Input-Disturbance Controllers

Wang

2019

IEEE Access

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In a wind-diesel isolated microgrid, the fluctuating output power of wind turbine generator (WTG) and the perturbation of the load demand will lead to power imbalance and frequency deviation in the system. Appropriate frequency control schemes are indispensable to guarantee power quality through maintaining the power balance. In view of the outstanding performance of Equivalent-Input-Disturbance (EID) method, it is taken to the task of load frequency control (LFC) problem of this microgrid. In this paper, novel double EID controllers are proposed for the frequency control of a wind-diesel isolated microgrid. In this integrated control design, one single EID controller is applied to the pitch angle control system to smooth output power of WTG by controlling the pitch angle. At the diesel generator side, another single EID controller is applied to adjust the output power of the diesel generator to maintain the power balance of the system and finally preserve frequency in the normal range. Battery energy storage system is connected as auxiliary regulation. The simulation studies show superior flexibility and control performance of the proposed strategy compared to the conventional PI method in a wind-diesel isolated microgrid in MATLAB. INDEX TERMS Equivalent-input-disturbance, frequency control, pitch angle control, renewable energy, wind-diesel microgrid.

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Section: The Microgrid System With Renewable Energy Provides a Flexiblementioning

confidence: 99%

Frequency Control of Isolated Wind-Diesel Microgrid Power System by Double Equivalent-Input-Disturbance Controllers

Wang

2019

IEEE Access

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“…The second most important step is to arrange the bacteria according to the herd information. As a final step, it can be thought of as an optimal solution search [32]. An iteration of BFA comes from four basic stages.…”

Section: Controlled Designed With Bfa-pimentioning

confidence: 99%

Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Civelek¹,

GÖREL²,

Lüy³

et al. 2018

ElAEE

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A control operation is the most important part of stabilization between load and frequency in a power system. The demand power change and the generated power change can disrupt the load-frequency balance. For this reason, the system frequency value should be controlled by some methods. In this study, a load frequency control was performed in a twoarea power system. The renewable solar energy system and the interconnected power system were connected. In order to control the load-frequency balance, the classical PI, PID, Fuzzy Logic Controller (FLC) based PI and Bacterial Foraging Algorithm (BFA) based PI controller were separately designed and implemented to control the frequency value. All the trials were simulated and confirmed by the MATLAB/Simulink program. According to the results obtained from the control methods, the BFA-PI method provided better overshoots and BFA-PI had better settling times than the others.

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“…This keeps the swarm size constant. The hybrid algorithm using PSO and BFOA optimized PI controller, for multiobjective load frequency [41]. The authors developed a hybrid PSO with firefly, also developed a hybrid PSO with BFOA, for the detection of BBB.…”

Section: Bacterial Foraging Optimization Algorithmmentioning

confidence: 99%

Introductory Chapter: Swarm Intelligence and Particle Swarm Optimization

Erdoğmuş¹

2018

Particle Swarm Optimization With Applications

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Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller

Cited by 105 publications

References 27 publications

Frequency Control of Isolated Wind-Diesel Microgrid Power System by Double Equivalent-Input-Disturbance Controllers

Frequency Control of Isolated Wind-Diesel Microgrid Power System by Double Equivalent-Input-Disturbance Controllers

Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Introductory Chapter: Swarm Intelligence and Particle Swarm Optimization

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