MPPT fuzzy logic controller of a wind energy conversion system based on a PMSG

Marmouh, Soufiane; Boutoubat, Mohamed; Mokrani, L.

doi:10.1109/icmic.2016.7804126

Cited by 27 publications

(8 citation statements)

References 10 publications

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“…In [50] a model similar to [49] is used, however the author adds a feed-forward FLC to adjust the angle of blade when there are gusts of wind. With the same control logic, other authors [40][41][42][43] change the inputs variable and they use generator shaft speed error (eω) and the error difference ∆(eω); and in [44,45] they use torque error (eτ) and the error difference ∆(eτ). In [46] combine types of variables; the Power error (eP) and the generator shaft speed (eω) are used.…”

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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Wind power is a renewable energy source that has been developed in recent years. Large turbines are increasingly seen. The advantage of generating electrical power in this way is that it can be connected to the grid, making it an economical and easily available source of energy. The fundamental problem of a wind turbine is the randomness in a wide range of wind speeds that determine the electrical energy generated, as well as abrupt changes in wind speed that make the system unstable and unsafe. A conventional control system based on a mathematical model is effective with moderate disturbances, but slow with very large oscillations such as those produced by turbulence. To solve this problem, expert control systems (ECS) are proposed, which are based on human experience and an adequate management of stored information of each of its variables, providing a way to determine solutions. This revision of recent years, mentions the expert systems developed to obtain the point of maximum power generation in a wind turbine with permanent magnet synchronous generator (PMSG) and, therefore, offers a control solution that adapts to the specifications of any wind turbine.

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Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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“…Basically, three types of wind power generation system available, they are classified as follows: (i) fixed speed induction generators (FSIG), (ii) permanent magnet synchronous generator, and (iii) doubly fed induction generator (DFIG). The maximum power point tracking (MPPT) control mode uses PMSG and DFIG depending on the wind conditions, so the production of a single FSIG cannot be controlled [19]. The summary of some review papers of wind power generation system is presented in Table 2 from the referred paper [20]− [23].…”

Section: Wind Power Systemmentioning

confidence: 99%

Renewable energy generation system connected to micro grid and analysis of energy management: a critical review

Rathod

Mishra²,

Bhuyan³

2022

IJPEDS

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Renewable energy generations have been employed throughout the world in order to meet the increasing load demand. It is a pollution free and abundantly accessible. The generation cost has been reduced because of more research advancement. Photovoltaic (PV) can’t generate throughout the day due to weather condition. In order to maintain the continuity of power generation a hybrid renewable generation system (HRGS) concept has been considered in this research work. HRGS is an integration of more than one renewable energy which consists of PV, wind, solid oxide fuel cell (SOFC), an auxiliary unit (AU). AU is used as a backup generation which can generate power when all the renewable energy fails to generate. AU may be of diesel generator (DG) or super capacitor. This paper discusses the various parts of HRGS and its comparison. Furthermore, its impact of energy management so as to deliver the energy to the grid in a continuous and reliable manner. Therefore, a detail study of different component of HRGS & renewable energy has been highlighted which will be helpful for the new researchers for advancement of power generation and its control strategy of energy management connected to the grid.

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“…The grid voltage equations are defined in the synchronous d‐q coordinates as follows:

({, \begin{array}{l} u_{dg} = R_{g} i_{dg} + L_{g} \frac{{italicdi}_{italicdg}}{dt} - ω_{s} L_{g} i_{qg} + u_{di} \\ u_{qg} = R_{g} i_{qg} + L_{g} \frac{{italicdi}_{italicqg}}{dt} + ω_{s} L_{g} i_{dg} + u_{qi} \end{array})

where, u dq ¯ i are the converter voltages; i dq ¯ g and u dq ¯ g are, respectively, the grid currents and voltages d‐q components; R g and L g are, respectively, the resistance and the inductance of the line; and ω s is the grid angular frequency.…”

Section: System Modelingmentioning

confidence: 99%

A coordinated control and management strategy of a wind energy conversion system for a universal low‐voltage ride‐through capability

Marmouh

Boutoubat

Mokrani

et al. 2019

Int Trans Electr Energ Syst

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Summary The increased penetration level of wind power plants has brought new issues and challenges. One of them is the low‐voltage ride‐through (LVRT). This paper proposes a coordinated control and management strategy to improve the capability of a wind‐energy conversion system (WECS) to fulfill the universal LVRT requirements. Moreover, it aims to exploit the system maximum capability in regard to its protection and to ensure an optimized power management. In fact, under grid fault, the machine‐side converter (MSC) contributes to the DC‐link voltage regulation by storing a percentage of the surplus power in the drive shaft inertia of the WECS. Meanwhile, the grid‐side converter (GSC) injects a portion of active power and reactive power required to support the grid voltage recovery. In this condition, the DC‐link voltage is controlled through batteries by a DC‐DC converter and a braking chopper circuit. Whereas, in normal grid conditions, the DC‐link is regulated via the GSC. The proposal supports the WECS to ride through severe low voltages and protects the WECS from excessive current, overvoltage, the PMSG from overspeed, and extends the batteries' lifespan. Simulation results show the effectiveness and the validity of the proposed coordinated control and management strategy.

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MPPT fuzzy logic controller of a wind energy conversion system based on a PMSG

Cited by 27 publications

References 10 publications

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Renewable energy generation system connected to micro grid and analysis of energy management: a critical review

A coordinated control and management strategy of a wind energy conversion system for a universal low‐voltage ride‐through capability

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