Conference Papers

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    Maximum power point tracking of PV array under non-uniform irradiance using artificial neural network
    (Institute of Electrical and Electronics Engineers Inc., 2015) Ramana, V.V.; Jena, D.
    This paper presents a maximum power point tracking (MPPT) method for tracking the global peak (GP) of photovoltaic (PV) array under non-uniform irradiance using artificial neural network (ANN). A feed forward multilayer perceptron model with Levenberg - Marquardt back propagation algorithm is used for tracking the global peak. The MPPT algorithm takes irradiance of PV modules as input and gives duty ratio of boost converter as output. The MPPT presented using ANN is compared with conventional hill climbing (HC) method and the actual values obtained from the P-V characteristics. Root Mean Square Error (RMSE) of PV array output power is calculated for both hill climbing method and proposed ANN method. Finally, a qualitative comparison is made between hill climbing method and ANN method. © 2015 IEEE.
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    Efficient global peak tracking of PV system under mismatching conditions using searching technique and bisection method
    (Institute of Electrical and Electronics Engineers Inc., 2018) Ramana, V.V.; Mudlapur, A.; Damodaran, R.; Balasubramanian, B.; Mishra, S.
    Rapidly increasing energy demand is leading to increase in installation of photovoltaic (PV) plants across the globe. The PV modules are subjected to various conditions like shading, soiling and degradation because of which the performance of PV panels deteriorates. This will affect the characteristics of PV module which may lead to several stairs in I-V curves and several peaks in P-V curve. In this paper the various causes of occurrences of mismatching conditions are analyzed. An efficient two stage algorithm that tracks global maximum power point (GMPP) accurately under such mismatching conditions is proposed in the paper. In the first stage, a simple searching technique and bisection method are used to bring the operating point to the proximity of global maximum. In the second stage, hill climbing method maintains the operating point at global peak. MATLAB Simulations and experimental verifications are performed for validating the proposed approach. © 2018 IEEE.
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    Practical limitations of embedded Z-source DC-DC converters in PV applications
    (Institute of Electrical and Electronics Engineers Inc., 2018) Reddivari, R.; Jena, D.
    This paper presents a detailed mathematical model for embedded Z-source converters (EZSC) by using a state-space averaging technique. In addition, the steady-state operational limits are derived concerning the internal voltage drops and parasitic parameters. Z-source converters exhibit non-minimum phase behavior, which is due to the presence of right-hand plane (RHP) zero. Thus, control of such a converter is a challenge, that slowdowns the transient response of traditional linear controllers. The paper investigates the impedance matching, the position of maximum power point (MPP) in EZSC for both active and shoot-through operational modes, and the effect of RHP zero in the placement of MPP. The steady state solution is derived for dc-link voltage to analyze the impact of non-ideal passive components like capacitors, inductors, diode, and switches. The expression for critical shoot-through duty ratio (STDR) for which the dc-link voltage is maximal is derived. Through critical analysis, the paper provides a valuable insight into the behavior of the embedded topologies and its steady state operational limits under photovoltaic (PV) applications. The paper presents a detailed comparison between positive embedded Z-source converter (PEZSC) and negative embedded Z-source converter (NEZSC). Simulation results are obtained using Matlab/Simulink™ and compared with the experimental results obtained using a laboratory prototype. © 2018 IEEE.