Modified efficient perturb and observe maximum power point tracking technique for grid-tied PV system

Ali, Ahmed; Sayed, Mahmoud A.; Mohamed, Essam E. M.

doi:10.1016/j.ijepes.2017.12.029

Cited by 120 publications

(49 citation statements)

References 39 publications

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“…The proposed RA‐PO algorithm is compared with CPO algorithms to validate the performance of the RA‐PO strategy. Furthermore, the overall efficiency of WECS is found to investigate the efficiency improvement using the proposed RA‐PO algorithm . Parameters of the WECS are indexed in Appendix A.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

Mousa

Youssef

Mohamed

2019

Int Trans Electr Energ Syst

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Summary In this study, an efficient robust adaptive perturb and observe (RA‐PO) maximum power point tracking (MPPT) algorithm–based wind energy conversion system (WECS) is suggested to avoid drawbacks of conventional P&O (CPO) algorithms. It depends on observing the distance between the actual and optimal rotor speed, calculating the required adaptive ratio at each operating point, perturbing the rotor speed with an appropriate step‐size, and observing power variations until the P‐ω curve slope equals zero. Therefore, it exhibits a rapid speed tracking with low oscillations. Moreover, it offers a well‐defined relationship among the extracted mechanical power, the rotor speed, the perturbing step‐size, and the operating wind speed so wrong direction and loss of tracking problems can be avoided on high‐inertia wind turbine (WT) during rapid wind speed fluctuations. It improves the WECS efficiency from 87% to 91%. The performance of WECS is confirmed via MATLAB/SIMULINK.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Furthermore, the overall efficiency of WECS is found to investigate the efficiency improvement using the proposed RA-PO algorithm. 42 Parameters of the WECS are indexed in Appendix A. The inertia effect on dynamic WECS is…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

Mousa

Youssef

Mohamed

2019

Int Trans Electr Energ Syst

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“…The PV inverter simulation model A PV inverter is connected between the microgrid and a 2.8 kW PV array model. The PV inverter is also modelled using D-Q control The inverter uses the P&O [36] method to extract the maximum power from the PV array.…”

Section: 4mentioning

confidence: 99%

An islanded microgrid energy management controller validated by using hardware-in-the-loop emulators

Petreuş

Etz

Pătărău

et al. 2019

International Journal of Electrical Power & Energy Systems

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A novel microgrid emulator used to test multiple microgrid configurations and energy management control strategies is presented. The system includes Hardware-In-the-Loop (HIL) emulators for geothermal and biogas energy sources. It also includes actual photovoltaic energy together with a lead acid battery bank for storage and it is controlled by a two level control system. The control system consists of a primary level voltage-reactive power and frequency-active power and a secondary level energy management algorithm based on the balance between the power produced by the renewable energy generators, state of charge of the battery bank and the loads. The energy management control strategy is based on cycle-charging the batteries at a reference value in order to efficiently use the available resources. The primary energy source is considered the geothermal energy, while the most cost effective one is the photovoltaic energy. A buffer zone is kept in the battery bank in order to store as much energy produced by the photovoltaic system as possible. The presented microgrid, used for testing the energy management strategies, employs emulators for the geothermal and biogas generators; however, the results are relevant and can be scaled for a real-life microgrid.Keywords: microgrid, power management, renewable energies, two level control, cycle charge control. Auxiliary equipment and communicationA method to send the commands to the microgrid and to measure the process variables from the microgrid is needed for the control algorithm based on battery cycle charging implementation. A bidirectional three wire RS485 serial communication network is built for this purpose. The communication protocol used in the network uses Modbus compatible data frameworks but is also compatible with the data protocols used by the inverters. Beside the communication modules needed by the inverters, there is a need for other equipment in order to give the geothermal and biomass emulators communication capabilities. The command signals are fed to the emulators through Modbus to analog converters and Modbus output compatible power meters are used for the electrical measurement. The network communication master is the central computing unit. The program that implements the master's communication functions and the cycle charging battery management algorithm is written in ANSI C, thus being highly portable. The physical interface between the network and the master is made by an USB to RS-485 interface. The connections of the equipment are presented in Fig. 22. The set points for the SMA equipment are directly sent through the communication network, but the emulators need Modbus to analog transducers for their commands.

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“…While the rotor speed is located remote from the MPP, a large step size is considered and continuously decreased closer to the MPP. The proposed P&O algorithm scheme is outlined as: estimated as the ratio of the actual output power of the WECS to the theoretical power [53]. This is formulated as where P th and P g are the theoretical and actual power of the WECS, respectively, and η sys is the overall efficiency of the system.…”

Section: Proposed Pando Mppt Techniquementioning

confidence: 99%

An efficient variable-step P&O maximum power point tracking technique for grid-connected wind energy conversion system

et al. 2019

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This paper proposes an efficient modular sector variable-step perturb and observe (VSPO) maximum power point tracking algorithm. The proposed algorithm enhances the speed tracking and minimizes oscillations level problems associated with traditional P&O methods. The routine of generating the variable step sizes depends on splitting the (P-ω) characteristic curve of wind turbines into modular sectors, in which the perturbation step size for each sector is selected by comparing a suggested ratio with another specified ratio designed according to the required accuracy. By continuously observing the distance between the actual rotor speed and the optimal rotor speed, the VSPO technique applies variable perturbation step sizes according to the current operating sector. Moreover, a wind speed estimation technique is used as a replacement of distributed anemometers for tracking the optimal rotor speed at different wind speeds. The studied system configuration includes three-phase back-to-back converter which is used to connect a 1.5 MW permanent magnet synchronous generator into the utility grid. Furthermore, the model predictive control is used for current control loop in the machine-side converter. To demonstrate the performance of the proposed algorithm, its simulation results are compared with the simulation results of conventional P&O technique under step and random wind variations. In addition, the algorithm performance is studied with real wind data (Hokkaido Island, Japan) using MATLAB/SIMULINK environment. Simulation results show that the VSPO ensures the high tracking speed of maximum power point, while the steady-state oscillation is significantly reduced. The proposed algorithm enhances the system efficiency by 3.5% over the conventional one.

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Modified efficient perturb and observe maximum power point tracking technique for grid-tied PV system

Cited by 120 publications

References 39 publications

Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

An islanded microgrid energy management controller validated by using hardware-in-the-loop emulators

An efficient variable-step P&O maximum power point tracking technique for grid-connected wind energy conversion system

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