Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Maximum power point tracking (MPPT)

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    Single-phase modular multilevel inverter based grid-connected photovoltaic system
    (Institute of Electrical and Electronics Engineers Inc., 2016) Sandeep, N.; Yaragatti, R.Y.
    This paper presents a control scheme for single-phase grid-connected modular five-level inverter applied to photovoltaic (PV) system. The five-level topology considered consists of two series connected H-bridge cells popularly known as cascaded H-bridge inverter. The reason that it requires an isolated dc sources makes it very attractive and its inherent modularity, easy scalability makes the system more reliable. One of the main challenges associated with multilevel converter is to control the drift in dc-link voltage caused by the power imbalance of the cells. A two loop control scheme is proposed to combat this issue; it consists of an asynchronous frame or proportional resonant (PR) for regulating the grid current and a proportional integral (PI) controller for regulating dc-link voltage. The proposed scheme regulates the dc-link voltage independently, in accordance with the reference value generated by the maximum power point tracking (MPPT) algorithm enabling the extraction of maximum power from each module. The inverter injects current which is in phase with the grid voltage ensures the unitary power factor operation with zero reactive power and less total harmonic distortion. The proposed control scheme can be extended to any number of cells connected in series for increasing the number of level in output voltage. Simulation results are presented to validate the analytical expectations and the control scheme developed. © 2015 IEEE.
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    Performance analysis of robust and nonlinear MPPT controllers for autonomous wind power system
    (Institute of Electrical and Electronics Engineers Inc., 2017) Gudimindla, G.; Manjunatha Sharma, K.M.
    This paper presents the performance analysis of nonlinear and robust control strategies for the maximum power extraction from permanent magnet synchronous generator (PMSG) based autonomous wind energy conversion system (WECS) under varying wind speed. The Nonlinear control strategy aims to achieve improvement in speed tracking performance by using feedback linearization method used to select the optimal control input by compensating nonlinearities in the WECS directly driven by PMSG. In order to design the Robust Quantitative Feedback Theory (QFT) based controller and multi model QFT controller for the WECS based on PMSG, the nonlinear system is represented by a series of linear time invariant transfer functions around different operating points. Robust controllers are designed for proper selection of optimal control input to extract maximum power for every wind speed. Performance analysis is done from the MATLAB simulation results among the controllers for the PMSG based WECS. Multi model QFT controller is recommended for their enhanced performance. © 2016 IEEE.
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    Particle Swarm Optimization based Maximum Power Point Tracking Technique for Solar PV System under Partially Shaded conditions
    (Institute of Electrical and Electronics Engineers Inc., 2021) Naseem, M.; Husain, M.A.; Kumar, J.; Ahmad, M.W.; Minai, A.F.; Khan, A.A.
    To attain peak power from a PV source, the maximum power point tracking (MPPT) approach is frequently used. The MPP of a photovoltaic (PV) system is not constant since its output characteristics are dependent on numerous parameters. Partial shading causes significant changes in the PV system's attributes, and it often shows several local maxima as well as global maxima. Due to the development of local maxima, traditional MPPT methods fail in partial shade situations. Due to partial shade, solar systems frequently have hot spots, which not only disrupt system yield power but also compromise the system's dependability and safety. Due to the existence of many peaks in the P-V curve under partial shade, the traditional MPPT becomes stuck in local maxima rather than the global peak. As a result, sophisticated MPPT systems are required to accurately track the real peak power despite changing temperature and irradiation circumstances. To accomplish this, this study proposes a tracking scheme based on particle swarm optimization (PSO). The suggested MPPT is simple, versatile, precise, and economical, and it can track global MPP even when partially shaded. The proposed algorithm's performance is examined in MATLAB Simulink to test the effectiveness of the recommended MPPT technique. © 2021 IEEE.