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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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20173
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Subject: Electrical Engineering × End date: 2017 × Start date: 2017 × Type: Thesis × Thesis Type: Ph.D ×
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Now showing 1 - 3 of 3
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    ThesisItemOpen Access
    Design, development and analysis of a new multilevel inverter topology using GSA based selective harmonic elimination technique
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-08) Kala, Peeyush; Arora, Sudha
    Power electronics finds its major role in the control and conversion of large amount of electric power. In many applications, conversion of dc power to ac power is often required which is achieved with the help of power inverters. Multilevel inverters are the class of inverters which are extensively being used in medium voltage and high power applications owing to their numerous advantages over conventional two-level power inverters. In the current global energy scenario, more emphasis is being given to harness energy from the renewable energy resources such as solar, wind, small hydro, geothermal, bio fuels, ocean energy etc. owing to rapid depletion of conventional energy resources, sharp rise in global energy demand and fuel prices, and growing environmental concerns. Hence, there is a lot of thrust to perform exhaustive research in MLIs for standalone or grid interfaced renewable energy applications. In this thesis work, topological and modulation scheme based solution have been proposed for distributed renewable energy systems such as PV systems, wind energy conversion systems, fuel cells etc., and for battery storage energy systems. As a topological solution, three new MLI topologies have been proposed. The first novel symmetric MLI topology consists of reduced number of switching devices and drivers as compared to various competent MLI topologies. This proposed topology has been implemented in experimental set-up for nine-level configuration. The second MLI topology is an asymmetric reduced switch count topology which is proposed for 31 level configuration. The third proposed MLI topology is 31-level asymmetric inverter topology which is intended for applications where purely resistive load is available. These proposed topologies have been compared with other popular MLI topologies in terms of number of switches, number of sources and number of components. The simulations of all of these proposed MLI topologies have been performed in MATLAB/Simulink environment. Experimental results of proposed symmetric nine-level inverter topology are also presented for the validation of the simulation results. As a modulation scheme based solution, GSA based SHE technique has been implemented in proposed symmetric nine-level inverter which showed the effectiveness of this switching scheme in achieving the objectives of SHE problem.
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    ThesisItemOpen Access
    Development and performance investigation of a novel meta-heuristic based MPPT for photovoltaic systems
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Joshi, Puneet; Arora, Sudha
    Solar energy is transformed into Electrical energy through PV systems consisting of PV panels, power conditioners & controllers and a load. Generally, there is a shift in the maximum power point with the change in the environmental conditions, a load change or due to partial shading. Hence, Maximum Power Point Tracking (MPPT) controller is required that ensures the maximum power extraction under all conditions. Many MPPT techniques for PV systems have been developed that are broadly classified as conventional methods and the modern approaches. These techniques vary in many aspects such as PV array dependency, application domain, complexity, convergence speed, periodic tuning, efficiency, simplicity, digital or analog implementation, sensors required, and cost. This work presents a novel hybridization of the Particle Swarm Optimization and the Coral reef Optimization approaches for MPPT for PV systems. In order to study the performance of the proposed method, ten widely-adopted MPPT algorithms; viz., Perturb and Observe (P&O) method, Adaptive step-size P&O method, Drift-free P&O method, Incremental Conductance (INC) Method, Adaptive step-size INC method, Incremental Resistance (INR) Method, Adaptive step-size INR method and three meta-heuristics based approaches, viz., Particle Swarm Optimization (PSO) based method, Gravitational Search Algorithm (GSA) based method, hybrid PSO-GSA method are compared with it using the Matlab/Simulink software. Firstly, the behavior of the conventional techniques was studied in presence of solar irradiation variations, imitating the natural variations occurring in the irradiance throughout the year, under constant temperature (250C). Thereafter, the methods were ranked based on the power obtained under each test conditions. In addition, the superiority of the methods was highlighted by simulation results. It was concluded that both INC method and the conventional P&O method showed the best overall efficiency ( ≈ 97%) under all test patterns. However, the meta-heuristics based approaches displayed even better results for the MPPT application. These methods, in general, exhibited very high efficiency ( ≈ 98.8%) and convergence rate under various test conditions. Amongst the selected methods, the proposed PSO-CRO method displayed highest efficiency ( ≈ 99.6%) and fastest convergence rate. Additionally, statistical analysis and two-sampled T-test were performed to determine the ordering of the methods. In addition, the meta-heuristics based approaches were tested under four partial shading conditions as well. All the methods were able to converge to the global maximum power again very quickly with an excellent efficacy. Simulation results show that the proposed PSO-CRO method can rapidly track the true MPP under different conditions with reduced steady state oscillations (to practically zero) once it is located. Furthermore, the proposed method has the ability to track the MPP for the extreme environmental condition, e.g., large fluctuations of insolation and partial shading condition. The outcome indicates the proposed method has obvious advantages, especially the performance being superior to the conventional methods. Additionally, the algorithm is simple to program and can be computed very rapidly using state-of-the art hardware technologies.
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    ThesisItemOpen Access
    A new approach for voltage sag estimation and effect of voltage sag on performance of induction motor
    (G.B. Pant University of Agriculture and Technology, Pantnagar (Uttarakhand), 2017-01) Gupta, Shobhit; Srivastava, Ajay
    Power quality has become a major concern in the recent time. Most of the power quality disturbances are due to voltage sag. Voltage sag can be characterized on the basis of its magnitude and duration. Since voltage sag is defined on the basis of its magnitude, hence it is very important to find out a method which can quantify the sag magnitude accurately. In this thesis a new hybrid method is proposed for the calculation of sag magnitude and duration. It has been found that this method estimates the sag more accurately in comparison to RMS voltage method and Peak voltage method. Minimum sampling frequency and size of sliding window is also proposed for the precise assessment of voltage sag. About 80% of the motors used in industry are induction motor. Electromagnetic torque generated by induction motor is directly proportional to the square of applied voltage. Hence during voltage sag, performance of the induction motor could be affected severely. In this thesis effect of voltage sag on induction motor performance has been investigated for various initial points on wave. To find out the effect of voltage sag on the rating and loading of induction motor, two different motors of 10 hp and 50hp power rating have been simulated on MATLAB SIMULINK platform. Simulation results have compared on the basis of current, torque and speed loss peak.