Qualification: 
M.Tech
Email: 
seemapn@am.amrita.edu

Seema P. N. currently serves as Assistant Professor at the Department of Electrical and Electronics Engineering at Amrita School of Engineering, Amritapuri. She has completed B.Tech in Electrical and Electronics Engineering from M.A. College of Engineering, Kothamangalam and M. Tech. in Instrumentation & Control System from NIT Calicut.

Publications

Publication Type: Conference Paper

Year of Publication Title

2019

P.N. Seema, Praveen, A., and G.Nair, D. M., “Tariff Based Price Calculation of Hospital Loads Using Fuzzy Logic Controller.”, in 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, India, 2019.[Abstract]


With the invention of new technologies, the consumer demand is increasing and will lead to a higher consumption of electricity usage. This will increase the electricity billing price time to time. Mainly this high bills are due to fixed unit charge of electricity. This can be controlled by tariff based unit price of electricity system. Here the proposed system is a hospital network connected to grid. The system contains three hospital loads critical loads, intermediate loads and noncritical loads and a renewable energy resource. The bidirectional flow of energy is taking place here. The critical loads have highest price structure due to high power quality, for that active filter is used. Intermediate loads have intermediate price structure, it contains passive filter for power quality improvement. The non-critical loads has lowest price structure. The total price with tariff and particular price structure of loads are done by smart meter with fuzzy logic controller.

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2018

P. J. Neeraj and P.N. Seema, “Control of Twin Rotor MIMO System Using Cross PID Control Technique”, in Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, 2018, pp. 744-750.[Abstract]


This paper deals with the 2-Degree of Freedom DOF control of a Twin Rotor MIMO System TRMS. The TRMS is a Multiple Input Multiple Output MIMO system which is used as a laboratory setup for control experiments. It is a highly nonlinear system with a high order and significant cross coupling. A linearized mathematical model of TRMS which takes into account process noises disturbances and measurement noises in the system is considered. A Kalman Filter is designed for this system to obtain the noise free outputs from the noisy outputs of the system. It is controlled in two degrees of freedom using a cross PID CPID controller and also a conventional PID controller for comparison purpose. Both these controllers are tuned using three different metaheuristic optimization algorithms - Particle Swarm Optimization PSO, Dynamic Spread Factor PSO SFPSO which is an improved version of the PSO and NMSPSO which is a hybrid algorithm of PSO with Nelder Mead Simplex NMS search method. Numerical simulations are performed to obtain the transient and steady state performance of the system for both the controllers. It is observed that the CPID controller tuned using NMSPSO gives the best performance compared to all the other cases. © 2018 IEEE.

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2017

S. Manju, P.N. Seema, and A. Rajendran, “A novel algorithm for power flow management in Combined AC/DC microgrid”, in 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016, 2017.[Abstract]


A Combined AC/DC microgrid is established for the efficient power flow between AC and DC loads and the sources combining the advantages of both AC and DC microgrids. The AC and DC microgrids are merged through an interlinking converter (IC). Energy storage element is also connected to the system for providing continuous power supply. In this paper a new control algorithm for the bidirectional power flow control of interlinking converter during islanding mode of combined AC/DC microgrid along with battery control is implemented. The modified droop based control strategy eliminates the use of communication links and also reduces the power conversion stages. The input to the power management strategy are the frequency of the AC microgrid and the DC bus voltage of interlinking converter. The experimental simulations are performed in MATLAB/ SIMULINK and results are analyzed. © 2016 IEEE.

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2017

P.N. Seema, Deepa, V., and Dr. Manjula G. Nair, “Implementation of consumer level intelligence in a smart micro-grid along with HEMS based price prediction scheme”, in 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016, 2017.[Abstract]


The consumer demand is increasing day-by-day with the emergence of new technologies for human comfort. The growing demand is expeditiously leading to the depletion of resources and increasing tariff. The improvised structure of the conventional grid namely, smart grid is rapidly gaining attention with its scheme for efficient meeting of the growing demand and the integration of renewables. The implementation of smart grid requires extensive communication methodology and structured control strategy. In this paper, the controls over the smart grid have been segregated into three as primary, secondary and tertiary. This paper deals with the intelligence associated with the primary and secondary levels placed in regard with the consumer and micro-grid operation. A price prediction scheme as a part of Home Energy Management System (HEMS) has also been designed to increase the consumer awareness. The role of the consumer as well as micro-grid in intelligent demand management has been demonstrated in this paper through simulations in MatLab using fuzzy logic. This system was also verified in hardware and the implementation details have been provided. © 2016 IEEE.

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2016

P.N. Seema, V, D., and Dr. Manjula G. Nair, “Consumer Level Intelligence in a Smart Micro-Grid”, in 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), 2016.[Abstract]


Reckless consumption of electric power by the consumers is one of the main reasons of depletion of resources (coal, petroleum) and increasing tariff. To improve the current statistics of distribution and consumption the Smart grid brought out a scheme providing the consumer higher control over the power generation and distribution thus increasing the responsibility of the consumer making them more vigilant and providing for sustainable development. Smart Grid improvises the conventional grid on various levels which calls forth the requirement for sophisticated controls carried out in various levels namely, primary, secondary, and tertiary. This paper deals with the intelligence associated with the primary and secondary levels placed in regard with the consumer and micro-grid operation. The role of the consumer as well as micro-grid in intelligent demand management has been demonstrated in this paper through simulations in MatLab using fuzzy logic.

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2015

D. Manohar and P.N. Seema, “Deadbeat controller with phase corrector for 400-Hz inverter used in ground power units of aircrafts”, in 2015 International Conference on Technological Advancements in Power and Energy (TAP Energy), Kollam, India, 2015.[Abstract]


The digital controller faces a severe phase delay problem in medium frequency inverters while updating the pulse width modulation (PWM) of the inverter. In this paper, a digital controller for maintaining the phase balance and ac voltage regulation of a 400-Hz inverter for the ground power unit (GPU) using Deadbeat control is presented. The disturbance decoupling networks are provided along with the Deadbeat controller to give good disturbance rejection capability and improve the robustness towards the load variations. However, the performance of the digital controller is affected by the sampling, A/D conversion and the execution of the programs in digital processors. To improve the performance, the time delay compensation is done by providing a phase corrector scheme. The difference in phase is measured by Fourier analysis, and the compensation is provided at the reference sinusoidal waveform of the SPWM control strategy. Simulation is done on MATLAB/Simulink platform and the waveforms for single phase as well as three phase bridge circuits are obtained for linear as well as non-linear loads.

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2015

D. Prabha M.V. and P.N. Seema, “A novel topology of forward-flyback PFC converter with constant on-time control”, in 2015 International Conference on Technological Advancements in Power and Energy (TAP Energy), Kollam, India, 2015.[Abstract]


A novel topology of forward-flyback power factor correction (PFC) converter with constant on-time control is proposed in this paper. The converter integrates the operation of a forward converter and a flyback converter. It operates either in the forward mode or the flyback mode depending on whether the input is higher or lower than the reflected output voltage to the transformer primary side. This integrated operation ensures that the dead zone problem of ac input current in conventional forward converters is overcome. It works for the universal ac input range and a high power factor is achieved. The proposed converter operates in critical conduction mode in order to achieve zero voltage switching and constant on-time control is applied. To confirm the validity of the proposed converter, simulations have been done using MATLAB/SIMULINK and are presented here.

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2015

S. B. T. V. and P.N. Seema, “Sepic PFC converter with notch filter based control”, in 2015 International Conference on Technological Advancements in Power and Energy (TAP Energy), Kollam, India, 2015.[Abstract]


Sepic power factor correction converters are used now days to reduce the second stage in a two-stage PFC preregulator. Moreover the problem of inverted output voltage can also avoided. But the PFC converters, due to nonlinear effects will create line frequency instabilities and subharmonic oscillations in the line current. This can adversely affect the system and shorten its lifetime. So to avoid these problems a novel control technique has been proposed. A second order Notch filter can be incorporated into the outer voltage compensation loop. The suitable notch gain and quality factor helps to suppress the instabilities and THD in line current and thus enhance the stability of the system. The system has been designed in MATLAB/Simulink software and the performance of control scheme has been verified.

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2015

D. Prabha M.V and P.N. Seema, “Design considerations of a ZVS forward AC-DC PFC converter with an improved constant on-time control”, in 2015 International Conference on Communications and Signal Processing (ICCSP), Melmaruvathur, India, 2015.[Abstract]


Design considerations of a zero voltage switching forward AC-DC PFC (Power Factor Correction) converter are presented here .The converter can achieve high PF in the entire universal input range. The forward converter topology also ensures that isolation of input is achieved and a novel single stage power factor correction circuit is realized. The converter is forced to operate in critical conduction mode (CRM) with the help of an improved constant on-time control. To confirm the validity of the proposed converter, simulations have been done using MATLAB/SIMULINK and are presented here.

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2015

G. Gireesh and P.N. Seema, “High frequency SEPIC Converter with PWM Integral Sliding Mode Control”, in Proceedings of IEEE International Conference on Technological Advancements in Power and Energy, TAP Energy 2015, 2015, pp. 393-397.[Abstract]


SEPIC Converter is a fourth order non-linear system and hence non-linear control strategies are more suitable to apply for it. When the SEPIC operates at very high switching frequency, it is essential to limit the computation time lower than the switching period. Sliding Mode Control (SMC) meet this objective. This paper presents a PWM based Integral Sliding Mode Control Strategy for controlling the output voltage of SEPIC converter. The present control methods for SEPIC converter are based on linear control approaches which are critical in low power application areas consuming more power since they require more processing time to run. The proposed control strategy is developed using the hybrid model of SEPIC converter with the state space averaging technique. The equivalent control law is derived and the control model is simulated in MATLAB/SIMULINK and the desired response is obtained. © 2015 IEEE.

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2014

A. A, P.N. Seema, and V. Srikanth, “Variable step-size algorithm implemented two phase soft-switched interleaved boost converter”, in Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference on, 2014.[Abstract]


This paper presents the study of maximum power point tracking (MPPT) controller implemented two phase soft-switched interleaved boost converter and focuses on the effectiveness of putting a solar panel instead of an ordinary dc source. The proposed system raises the overall efficiency by incorporating soft-switching technique in addition to MPPT. The algorithm used to track maximum possible power from the PV panel was variable step size algorithm, being superior over other methods due to its ability to change the step size according to the MPP. The above mentioned converter with MPPT is found to be highly efficient (around 96%) compared to other converters with MPPT because of reduced ripple and reduced switching losses. So it can be applied for high voltage as well as high power applications such as in space crafts, hybrid electric vehicles, dc back up energy systems, power factor correctors etc. It can also be used for grid connected and micro-grid applications because of low output voltage ripple. In this work, design and simulation has been done in MATLAB software to verify the performance of the converter with MPPT.

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