Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources

Hasanien, Hany M.

doi:10.1049/iet-gtd.2017.1005

Cited by 198 publications

(122 citation statements)

References 31 publications

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“…In this study, two approaches are adopted for selection of gain parameters of the PI controllers, ie, (1) trial-and-error approach and (2) whale optimization algorithm (WOA) (a latest meta-heuristic optimization algorithm). 30,31 The details of the WOA are given below.…”

Section: Computer Simulation Experimentsmentioning

confidence: 99%

A novel power quality enhancement scheme for three‐phase differential boost inverter–based grid‐connected photovoltaic system with repetitive and feedback linearizing control

Pati

Sahoo

2019

Int Trans Electr Energ Syst

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Summary In grid‐connected (GC) photovoltaic (PV) system with a three‐phase voltage source inverter (VSI), one major requirement is that the DC‐side voltage should be greater than the inverter AC‐side voltage. In many PV installations, this is difficult to attain without an additional DC‐DC converter. For such scenarios, a three‐phase differential boost inverter, where input DC voltage can be less than AC‐side voltage, is a promising configuration. For GC PV systems integrated with such power electronic switching converters, the power quality control also plays a significant importance. In this paper, a novel power quality control technique for such a GC PV system based on three‐phase differential boost inverter has been proposed and evaluated. The proposed control system consists of three subsystem level control loops: (1) a novel control unit for reference voltage generation required for power quality improvement, (2) a double‐loop control strategy with plug‐in–type repetitive Proportional‐Integral (PI) control for outer loop and feedback linearizing control for inner loop meant for tracking of boost inverter output reference voltages, and (3) another bidirectional DC‐DC converter controller for battery operation. The performance of the proposed control algorithms has been tested under various scenarios, ie, power management, transition between GC to stand‐alone (SA) modes and vice versa, and grid current compensation under unbalanced load, nonlinear load, and unbalanced and distorted grid voltage conditions. Extensive simulation and experimental results are reported for validating the proposed control technique.

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Section: Computer Simulation Experimentsmentioning

confidence: 99%

A novel power quality enhancement scheme for three‐phase differential boost inverter–based grid‐connected photovoltaic system with repetitive and feedback linearizing control

Pati

Sahoo

2019

Int Trans Electr Energ Syst

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“…termed by equations in [17]. This research uses GAMESA wind turbine, which is The mechanical power from the wind turbine model installed at Zafarana location in Egypt [24].…”

Section: Ii2 Wind Power Plantmentioning

confidence: 99%

“…This research uses GAMESA wind turbine, which is The mechanical power from the wind turbine model installed at Zafarana location in Egypt [24]. The details of can be written as the following equations [17]: this wind turbine are given in the Appendix. Moreover, real wind speed data, which was =( , ) (5) extracted from Zafarana location during one day this research uses [16].…”

Section: Ii2 Wind Power Plantmentioning

confidence: 99%

“…Hasanien et al [16] presented a symbiotic organisms search algorithm for obtaining the optimal parameters of the frequency controller in the interconnected power system including wind farms. Hasanien [17] used the whale optimization algorithm for obtaining the optimal PID controller parameters in an interconnected modern power system including renewable sources.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms

Magdy

Shabib

Elbaset

et al. 2018

IRECON

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This paper presents a real hybrid power system in Egypt, which includes both conventional generation units and Renewable Energy Sources (RESs) for studying the Load Frequency Control (LFC) problem. The conventional generation system in the Egyptian Power System (EPS) is decomposed into three dynamic subsystems; non-reheat, reheat and hydro power plants. Moreover, real wind speed data extracted from Zafarana location in Egypt is used for achieving a realistic wind power study. Each subsystem of the EPS has its own characteristics compared to the others. Moreover, the physical constraints of the governors and turbines such as Generation Rate Constraints (GRCs) of power plants and speed governor dead band (i.e., backlash) are taken into consideration. Therefore, this paper proposes a decentralized controller for each subsystem independently, to guarantee the stability of the overall closed-loop system. Hence, an optimal PID controller-based Particle Swarm Optimization (PSO) algorithm is proposed for every subsystem separately to regulate the frequency and track the load demands of the EPS. The performance of the proposed decentralized controller of each subsystem is compared to the centralized one under different operational scenarios. The EPS is tested using the nonlinear simulation by Matlab/SIMULINK. The obtained results reveal the superior robustness of the proposed decentralized controller against different load disturbance patterns, real wind power fluctuations and EPS uncertainties. Nomenclature Pn1Nominal rated Power output for the non-reheat plant (MW pu)∆fThe frequency deviation of the EPS (Hz) Pn2Nominal rated Power output for the reheat G. Magdy et al.

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“…20 The WOA has been successfully applied for AGC to an interconnected modern power system with conventional and renewable energy sources. 21 The WOA is also applied for optimal thresholding for image segmentation, 22 maximum power point tracking for solar photovoltaic under both variable climatic and partial shaded condition. 23 It shows that the WOA offers better accuracy compared to other evolutionary algorithms.…”

Section: Introductionmentioning

confidence: 99%

Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

Simhadri

Mohanty

Panda

2018

Optim Control Appl Methods

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Summary This paper presents the design of two‐degree‐of‐freedom state feedback controller (2DOFSFC) for automatic generation control problem. A recently developed new metaheuristic algorithm called whale optimization algorithm is employed to optimize the parameters of 2DOFSFC. The proposed 2DOFSFC is analyzed for a two‐area interconnected thermal power system including governor dead band nonlinearity and further extended to multiunit hydrothermal power system. The supremacy of the 2DOFSFC is established comparing with proportional‐integral, proportional‐integral‐derivative (PID), and 2DOFPID controllers optimized with different competitive algorithms for the concerned system. The sensitivity analysis of the optimal 2DOFSFC is performed with uncertainty condition made by varying bias coefficient B and regulation R parameters. Furthermore, the proposed controller is also verified against random load variations and step load perturbation at different locations of the system.

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Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources

Cited by 198 publications

References 31 publications

A novel power quality enhancement scheme for three‐phase differential boost inverter–based grid‐connected photovoltaic system with repetitive and feedback linearizing control

A novel power quality enhancement scheme for three‐phase differential boost inverter–based grid‐connected photovoltaic system with repetitive and feedback linearizing control

A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms

Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

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