Kalman Filter based Novel Centralized Dynamic State Estimation in Multi-Machine Power System Incorporating DFIGs (Record no. 112301)
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| 000 -LEADER | |
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| fixed length control field | 05111ngm a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180509b xxu||||| |||| 00| 0 eng d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | TT000057 |
| Item number | TRI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Trivedi, Dishang D. |
| 245 ## - TITLE STATEMENT | |
| Title | Kalman Filter based Novel Centralized Dynamic State Estimation in Multi-Machine Power System Incorporating DFIGs |
| Statement of responsibility, etc | by Dishang D. Trivedi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Ahmedabad |
| Name of publisher, distributor, etc | Nirma Institute of Technology |
| Date of publication, distribution, etc | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 127p Ph. D. Thesis with Synopsis and CD |
| 500 ## - GENERAL NOTE | |
| General note | Guided by: Dr. S. C. Vora With Synopsis and CD 11FTPHDE04<br/><br/>ABSTRACT:<br/>The omnipresent, conventional synchronous generators are playing a pivotal role since<br/>many years to meet ever increasing demand of electrical energy. A steep growth in<br/>energy requirements is now met by power generation mix of fossil fuel based and<br/>renewable energy based generators. The stochastic nature of renewable generations,<br/>expanding power networks, complex interactions among the system components and<br/>loads etc. impose need for superior monitoring and control at power system level<br/>for its stable operation. For efficient operation and control of the power system, it<br/>is essential for the energy management system (EMS) operator to have an accurate<br/>information about every generator's dynamic states and power system behaviour.<br/>Diminishing fossil fuels and environment concerns advocated nations to gradually<br/>adopt renewable energy sources. Wind energy, better on multiple aspects among<br/>other renewable options, is dominating today in the power networks. Among wind<br/>energy generators, doubly fed induction generators (DFIGs) are widely accepted due<br/>to its operational <br/>exibility, small converter size, better power control and low cost.<br/>The parallel operation of DFIGs (or wind farm) with pervasive synchronous generators<br/>brings in enhanced system dynamics. This condition strongly dictates dynamic<br/>state estimation (DSE), not only to infer information about synchronous generators<br/>but concurrently know the states of wind generator(s). The performance of DFIGs<br/>also dependent on the converter control circuitry and its feedback loop. This thesis is<br/>the record of work that appropriately models the generators and the network, suitable<br/>for the adoption by the Kalman filter based algorithms to perform the DSE. With the<br/>help of the availability of centralized measurement data, the states of all the generators<br/>in the multi-machine system can be established simultaneously. Subsequently,<br/>the dynamic states of the DFIG are used for its rotor power control under specific<br/>conditions.The synchronous generators, usually considered as a voltage source in the literature<br/>are presented by relevant state-space model for stability analysis. On the other<br/>hand, widely accepted DFIG based wind generator is presented as current source<br/>state-space model. As the models of both the generators are far apart, it is necessitated<br/>to bring both on the same platform. The thesis contains the work that shows<br/>the possibility of model unification of both kind of generators. Employing traditional<br/>DFIG current-source state model, a current-source state model of synchronous generators<br/>is proposed and validated using standard software platform. Highlighting<br/>feature of the proposed mathematical model is its applicability to power system with<br/>no limits on number of synchronous generators and DFIGs. Considering modelling<br/>intricacies, the use of these models is recommended to achieve concurrent DSE in a<br/>multi-machine power system. Employing current source models of synchronous generators<br/>and with substantial penetration of DFIG in multi-machine system, approach<br/>for concurrent DSE of synchronous generator and DFIG is presented. The mathematical<br/>model is simulated in MATLAB / Simulink platform for the validation. The<br/>power system dynamic conditions realized in the MATLAB / Simulink model are then<br/>treated as the data available from the phasor measurement units (PMUs) (with and<br/>without noise). This is used for the extended Kalman lter (EKF) and unscented<br/>Kalman filter (UKF) based DSE algorithms. Centralized dynamic state estimator<br/>based on EKF and UKF are employed for the faithful state predictions for all the<br/>generators under power system dynamic conditions and results are presented.<br/>Application of dynamic states in real time is equally important to achieve better<br/>control and operation of DFIG. This apparatus, normally operate in hostile condition<br/>whether on-shore or off-shore, can undergo internal sensor erratic operation. Under<br/>such conditions, use of dynamic states obtained using EKF, is proposed to have errorfree,<br/>continuous and smooth operation of DFIG. The results are embodied in the<br/>thesis. As an offshoot of main work, comparative performance of EKF and UKF with<br/>different PMU measurement data update rates under discontinuous measurement is<br/>analysed. Additionally, use of weighted least square estimation (WLSE) algorithm<br/>as an alternate to load <br/>ow under bad measurement condition is deliberated with<br/>results. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://repository.nirmauni.ac.in/jspui/handle/123456789/7983 |
| Public note | Institute Repository (Campus Access) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://shodhganga.inflibnet.ac.in/jspui/handle/10603/206992 |
| Public note | Shodhganga |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
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