Ankita Gupta is pursuing masters in Electrical Engineering majoring in Power Systems and Power Electronics from Michigan Technological University. She graduated with B.E. in Electronics and Communications from NSIT, University of Delhi. She worked as an intern in Rice Lake Weighing Systems, Wisconsin, where she researched on transients effects in a power system and was involved in motor controller project using PWM and zero crossing detection. She also worked as an intern in Steel Authority of India Limited and BSNL. She designed a phasor measurement Unit Algorithm and implemented the algorithm in FPGA and Arduino boards. She also has worked on several projects including Power flow control of transmission line using facts devices, Usage based transmission loss allocation and Stability Analysis and Control of a Wind turbine driven induction generator, Effects of Shunt Reactor switching on transmission lines and applications and Arduino implementation of Linear Programming for smart grid building networks. She co- founded a startup named Flashpal.Co, where she was involved in System Administration and social media managing. She is experienced in working with MATLAB, PSPICE, C/C++, EAGLE CAD, LABVIEW, ASPEN, ATP, CYME, GAMS, SAP ERP, PHP, SQL, PLC, SCADA. Presently, she is pursuing her interest in SolarPhotovoltaics, working under Dr. Joshua Pearce.

Research Projects

The following projects were done during my MS in Electrical Engineering at Michigan Technological University.

Study of Power Quality Issues all Over the World Using CHROMA 61502

This projected was done in RiceLake Weighing Systems, Wisconsin. Power Quality issues are faced all over the world. Implementation of tests like transients, harmonics, interharmonics, voltage spike, surge and swell, brownout conditions and Power Line Disturbances. All these tests were designed on CHROMA 61502 device. The drivers were written and connected. Settings of RS 232 communication port was also established. In house power supply testing techniques have been developed. A written manual for all the tests developed during this project was fabricated by me for the company's further use.

Chroma 61502


Designing a phasor measurement Unit Algorithm and using it for the application in Generator control. Implementation of this in FPGA and Arduino boards and also simulating and completing the closed loop using OPAL- RT. It is basically Wide area protection. Studying of Power System will be done in real time. Relaying is being used for the protection of the power system from any type of fault.

Opal RT Simulator


The main aim for the project was to develop a LP problem using Simplex Method for optimization of building to integrate them in smart grid distribution. The objective function was to optimize the power consumption of the building and in turn reduce the cost. A generic code was developed for ‘n’ variables and the program was implemented in Arduino UNO board. This was the hardware implementation of the LP program in power system optimization.

Arduino UNO Board


Reactor banks play an important role in mitigation of the voltage rise, which is otherwise known as Ferranti Rise, which is distinctive to long lightly loaded transmission lines having high capacitive charging current. The energizing and de-energizing of the reactor bank introduces high frequency transients that might stress the insulation of the switching equipment leading to equipment failures. In this case study a comprehensive and a simplified EMTP model of the reactor are introduced. The computer model has been validated in field experiments.TThe simulation results obtained were reasonably acceptable and validate that reactor bank switching imposes heavy duty on circuit breaker and connected equipment during its energization.

Shunt Reactor


In this project, the aim was to analyse the transient and dynamic stability of a wind turbine system with Doubly Fed Induction Generator with conventional and fuzzy logic method. We have simulated our model in MATLAB SIMULINK. In this simulation we have considered a wind farm with 9MW capacity( 1.5 MW * 6). It is connected to an infinite bus system. Since, we have used a doubly fed Induction generator for our wind farm, all the required protection for the generator and the system have been considered. We have introduced a single line ground fault in the system and required reactive power compensation is also given. We have considered a two input and single output fuzzy logic controllers. We have two fuzzy logic controllers, one is for the capacitance control and the other one is for pitch angle control. The member functions for capacitor control are slip speed deviation and other is change of slip speed deviation and it is composed of 5 and 3 parts respectively. Similarly, for pitch angle control deviation in wind speed and rate of change of wind speed are member function inputs, each consisting of five parts. In both cases we have considered the range as -1 to 1 to calculate the graph of both the fuzzy logic controller.

Wind Turbine


A very important feature of an interconnected AC systems is that power flow control through specific control paths is quite difficult. This is because power flow in these paths depends upon the line parameters, topology of the network, generation and load location. The power flows are not directly dependent on transmission line ownership, contracts, thermal limits or losses. In this project we are trying to study the performance of a bus system with respect to active and reactive power and bus voltages. We are analyzing our bus system with and without a Unified Power Flow Controller and inspect the capability of the system. Here, in the first case we have considered a 5 bus test system and modeled it in SIMULINK MATLAB and studied the power flow in the system and noted the values of active and reactive power of the system and also the bus voltages. Then we have installed a block of UPFC in the system and then again repeated the process and then compared both the results and analysed the improvement in performance of the system. In the second case we have modeled a 9 bus test system and repeated the above steps and observed improvement in the behavior of the system. To overcome overload alleviation, contractual requirements and loss reduction, power flow control isrequired.So, we introduce flexible AC transmission systems (FACTS) devices which can control power flow in the transmission system as it can inject a sinusoidal voltage of variable and controllable amplitude and phase angle, in series with a transmission line. In our project we have simulated all our results using UPFC.

Schematic of the Circuit


In recent times, transmission loss allocation is one of the major concern in deregulated power system. Transmission of power in a network is always associated with the losses. These losses are compensated by the generators in the network. In the large and complex power system network it accounts to billions of money. In a deregulated power system none of the generators wants to compensate these losses as it affects their performance and revenue adversely. So there arises a need to have a fair and accurate method of loss allocation. Due to the nonlinear nature of losses none of the existing methods are accurate and thus no universally accepted method exist for loss allocation. In this project a new technique of transmission loss allocation known as "Usage based transmission loss allocation" is studied and implemented. This method is implemented on IEEE 14 bus system in MATLAB. Here load flow is run for the system using Newton Raphson method and the results obtained like voltage values, power output, branch flow etc. are used for further calculation of total losses. Usage coefficient are found for generating and non-generating buses which is then used along with the exact loss formula to allocate losses to load and generators simultaneously. The key point of this method is that it has least approximation and thus losses are assigned fairly and accurately. This method is one of the best approach for solving the challenging problem of transmission loss allocation in power system. This is just a stepping stone in the area of loss allocation and has a very large scope of expansion. This program can be generalized for ’n’ bus system and can became a standard approach for allocating losses in a power system. Inclusion of slack bus and congestion can make this program more standardized.