Quasi‐oppositional harmony search algorithm based optimal dynamic load frequency control of a hybrid tidal–diesel power generation system

Kumar, Akshay; Shankar, Gauri

doi:10.1049/iet-gtd.2017.1115

Cited by 46 publications

(33 citation statements)

References 26 publications

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“…The operating principle and control mechanism of TPG is similar to WTDG. The mechanical power (P TD ) harnessed from TPG can be depicted as [34] IET…”

Section: Tidal Power Generationmentioning

confidence: 99%

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Illustration of demand response supported co‐ordinated system performance evaluation of YSGA optimized dual stage PIFOD‐(1 + PI) controller employed with wind‐tidal‐biodiesel based independent two‐area interconnected microgrid system

Latif

Das

Barik

et al. 2020

IET Renewable Power Generation

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This study proposes an earliest approach toward coordinated frequency stabilisation of wind turbine driven generatortidal power generation-biodiesel driven generator-micro-turbine generator-based islanded two-area interconnected microgrid system with demand response support (DRS) mechanism. A recent bio-inspired optimisation technique, named yellow saddle goatfish algorithm (YSGA) is employed to optimally tune the controller gains. The comparative dynamic performance of conventional proportional-integral-derivative (CPID), fractional order (FO) PID, dual-stage PIFOD-one plus PI [PIFOD-(1 + PI)] controllers' parameters optimised by several algorithmic tools such as particle swarm optimisation, firefly algorithmic tool, salp swarm technique and YSGA clearly designates the superiority of YSGA-PIFOD-(1 + PI) controller under different scenarios (considering the real-time recorded wind and load data) in terms of change in frequency, tie-line power fluctuation and objective function. Furthermore, the impact of the DRS mechanism in both areas is analysed first time under real-time wind and load disturbances. Finally, the rigorous sensitivity analysis of YSGA-optimised PIFOD-(1 + PI) controller has been conducted with the variation of wind turbine driven generator gain, ±30% change in synchronising tie-line factor, frequency bias value, microgrid system time constant and + 30% change in loading magnitude without retuning the optimal base condition values.

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“…The operating principle and control mechanism of TPG is similar to WTDG. The mechanical power (P TD ) harnessed from TPG can be depicted as [34] IET…”

Section: Tidal Power Generationmentioning

confidence: 99%

“…where; 0 < β ≤ 2 (34) where α and are the step size (α = 1) and levy index, respectively. To find the best prey, the behaviour of each clustering group can be represented as…”

Section: Phase-2μ Chasingmentioning

confidence: 99%

Illustration of demand response supported co‐ordinated system performance evaluation of YSGA optimized dual stage PIFOD‐(1 + PI) controller employed with wind‐tidal‐biodiesel based independent two‐area interconnected microgrid system

Latif

Das

Barik

et al. 2020

IET Renewable Power Generation

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“…Psarros et al [14] studied and shed light on the operation of battery-based hybrid power stations in small island systems and their investment feasibility. Kumar et al [15] proposed an algorithm based on quasi-oppositional harmony search. In this study, they compared their algorithm with other algorithms for optimal dynamic performance of load frequency control for diesel-tidal hybrid power generation.…”

Section: India Ranks Fourth On the Renewable Energymentioning

confidence: 99%

Ant lion algorithm for optimized controller gains for power quality enrichment of off-grid wind power harnessing units

Kodakkal¹,

Rajagopal

Raju

et al. 2020

Chin. J. Electr. Eng.

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The proposed system uses an algorithm that works on the admittance of the system, for estimating the reference values of generated currents for an off-grid wind power harnessing unit (WPHU). The controller controls the voltage and maintains the frequency within the limits while working with both linear and nonlinear loads for varying wind speeds. The admittance algorithm is simple and easy to implement and works very efficiently to generate the triggering signals for the controller of the WPHU. The wind power harnessing unit comprising of a squirrel cage induction generator, a star-delta transformer, a battery storage system and the control unit are modeled using Matlab/Simulink R2019. An isolated transformer with a star-delta configuration connects the load and the generator circuit with the controller to reduce the dc bus voltage and mitigate current in the neutral line. The response of the system during the dynamic loading depends on the best possible compensator proportional-integral (PI) gains. The antlion optimization algorithm is compared with particle swarm optimization and grey wolf optimization and is found to have the advantages of good convergence, high efficiency and fast calculating speed. It is therefore used to extract the optimal values of frequency and voltage PI gains. The simulation results of the control algorithm for the WPHU are validated in a real-time environment in a dSpace1104 laboratory set up. This algorithm is proven to have a quick response, maintain the required frequency, suppress the current harmonics, regulate voltage, help in balancing the load and compensating for the neutral current.

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“…In [16], output maximisation control method for TPP is discussed. In [17], the optimal dynamic performance of a hybrid tidal-diesel power generation system is briefly presented. It is observed that TPP has similar demerit as that of WPP of not able to participate in LFC.…”

Section: Introductionmentioning

confidence: 99%

Load frequency control assessment of tidal power plant and capacitive energy storage systems supported microgrid

Kumar

Shankar

2020

IET Generation, Transmission & Distribution

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Quasi‐oppositional harmony search algorithm based optimal dynamic load frequency control of a hybrid tidal–diesel power generation system

Cited by 46 publications

References 26 publications

Illustration of demand response supported co‐ordinated system performance evaluation of YSGA optimized dual stage PIFOD‐(1 + PI) controller employed with wind‐tidal‐biodiesel based independent two‐area interconnected microgrid system

Illustration of demand response supported co‐ordinated system performance evaluation of YSGA optimized dual stage PIFOD‐(1 + PI) controller employed with wind‐tidal‐biodiesel based independent two‐area interconnected microgrid system

Ant lion algorithm for optimized controller gains for power quality enrichment of off-grid wind power harnessing units

Load frequency control assessment of tidal power plant and capacitive energy storage systems supported microgrid

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