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Model Predictive based Energy Efficient Control of an On-Grid PV Inverter

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dc.contributor.advisor Habibullah , Dr. Md.
dc.contributor.author Podder, Amit Kumer
dc.date.accessioned 2019-04-25T05:01:04Z
dc.date.available 2019-04-25T05:01:04Z
dc.date.copyright 2019
dc.date.issued 2019-03
dc.identifier.other ID 1703502
dc.identifier.uri http://hdl.handle.net/20.500.12228/510
dc.description This thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Masters of Science in Electrical and Electronic Engineering, March 2019. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references.
dc.description.abstract Renewable energy is now one of the most interesting topics in the field of distributed energy generation. Among the renewable energy sources, the solar photovoltaic (PV) source has become the most popular and effective one. Generally, PV system is connected to an ac grid through an inverter. The inverter should be controlled in such a way that it can penetrate maximum power to the grid. However, designing a controller for the inverter is a difficult task due to the intermittent PV source. The traditional pulse width modulation (PWM) based inverters produce high total harmonic distortion (THD) in the output current. This causes a significant amount of power loss and thus less power penetration to the grid. It makes the on-grid PV systems inefficient. Therefore, model predictive control (MPC) based energy efficient conversion of PV power is proposed in this research work. In the proposed MPC, the control objectives (current and switching frequency) are predicted using a finite number of voltage vectors produced by the inverter. MPC selects an optimal control action (i.e. switching state) in every sampling instant for the inverter by minimizing a predefined cost function. The cost function includes current tracking error and number of switching transitions. These two control objectives are combined in the cost function with a weighting factor. The first control objective provides a smooth current tracking accuracy, which increases the r.m.s amplitude of the injected current and thus increases the power penetration to the grid. The second control objective reduces the average switching frequency, which actually reduces the switching loss. The value of weighting factor in the cost function is selected by making a tradeoff between the current THD and the average switching frequency. Simulation results show that the proposed controller tracks the reference current accurately with mean absolute error of 2.5% which is 30% for the PWM based controllers. The low current tracking error for MPC based inverter yields low current THD of 2.07%, whereas in traditional PWM based inverter the current THD is 7.26%. As a result, the proposed MPC based inverter penetrates 12.8% more active power to the grid than the PWM based inverter. The active power penetration is confirmed by load flow analysis using IEEE 13 bus test feeder. The energy efficient operation of the MPC based inverter is also verified by doing loss analysis. There are three types of loss considered in the research work: conduction, switching and harmonic losses. The conduction, switching, and harmonic losses of the inverter are reduced by 36.8%, 50%, and 91.9%, respectively, in comparison with the PWM control based inverter. The performance of the proposed controller is also analysed in terms of transient response, decoupling control, and fault tolerant ability. It is shown that the proposed MPC yields decoupled current control and fast transient response, and capable of handling the symmetrical and unsymmetrical faults in the grid. The research outcome from this comprehensive analysis proves that the proposed controller reduces the power loss to maximize the penetrated power and ensures the performance of the proposed controller as an energy efficient controller for an on-grid PV inverter. en_US
dc.description.statementofresponsibility Amit Kumer Podder
dc.format.extent 89 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Renewable Energy en_US
dc.subject Distributed Energy Generation en_US
dc.subject Photovoltaic (PV) System en_US
dc.subject Total Harmonic Distortion (THD) en_US
dc.subject Model Predictive Control (MPC) en_US
dc.subject On-Grid PV Inverter en_US
dc.title Model Predictive based Energy Efficient Control of an On-Grid PV Inverter en_US
dc.type Thesis en_US
dc.description.degree Masters of Science in Electrical and Electronic Engineering
dc.contributor.department Department of Electrical and Electronic Engineering


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