Authors:
Nagendrababu Mahapatruni,Velangini Sarat P.,Suresh Mallapu,Durga Syamprasad K.,DOI NO:
https://doi.org/10.26782/jmcms.2020.08.00013Keywords:
Power System,Extended SMIB,Governor,Speed deviation,PID controller,Abstract
Analysis of single machine infinite bus system is made by considering single Kaplan turbine-generator with exciter and governor for the small-signal stability. In this research paper a scientific approach was adopted to minimize the settling time along with the stability of the given power system. Kaplan turbine generators were predominantly implemented in hydroelectric power plants with lower heads. However, dual regulation of such turbines in the plants are renowned in the current research trends. The dual regulation of hydro-turbine is incorporated through the operation of both wicket gate and runner blade position. In a worldwide scenario Kaplan turbine-generators play a vital role in power and energy generation. Whereas the life of these generator gates or runner blades depends on speed deviations. In this context, a PID controller has been designed for the extended single machine infinite bus system to improve the speed deviation. The results of the extended single machine infinite bus system are compared with and without PID controller for the enhancement of speed deviation.Refference:
I. Amar President, O., Hocine Supervisor, L., & Nadia Examiner MCB, B. (2019). People’s Democratic Republic of Algeria Ministry of Higher Education and Scientific Research THEME: Study of a Grid-Connected Photovoltaic System.
II. Bharatiraja, C., Kasilingam, G., Pasupuleti, J., Bharatiraja, C., & Adedayo, Y. (n.d.). Single Machine Connected Infinite Bus System Tuning Coordination Control using Biogeography-Based Optimization Algorithm. scindeks.ceon.rs.
III. Björk, J., & Johansson, K. (2019). Control Limitations due to Zero Dynamics in a Single-Machine Infinite Bus Network.
IV. Bux, R., Xiao, C., Hussain, A., & Wang, H. (2019, 11 16). Study of Single Machine Infinite Bus System with VSC Based Stabilizer. dl.acm.org, 159-163.
V. Chaib, H., Allaoui, T., Brahami, M., & Denai, M. (n.d.). Modelling, Simulation and Fuzzy Self-Tuning Control of D-STATCOM in a Single Machine Infinite Bus Power System.
VI. Chan, Z., & Aung, Z. (2020). Zar Ni Aung.
VII. Chen, J., & Engeda, A. (n.d.). IOP Conference Series: Earth and Environmental Science Design considerations for an ultra-low-head Kaplan turbine system Design considerations for an ultra-low-head Kaplan turbine system. iopscience.iop.org.
VIII. Czeslaw Banka, J. (2017). A RESEARCH PLAN FOR ASSESSING THE POWER AND ENERGY CAPABILITY OF A RIVER NETWORK UNDER AN INTEGRATED WIND/HYDRO-ELECTRIC DISPATCHABLE RÉGIME.
IX. Garbin, D. (2018). Analysis for the assessment of the wave energy and ISWEC productivity along the argentinian coast.
X. Ghosh, A., Das, A., & Sanyal, A. (2019, 10 1). Transient Stability Assessment of an Alternator Connected to Infinite Bus Through a Series Impedance Using State Space Model. Journal of The Institution of Engineers (India): Series B, 100(5), 509-513.
XI. GROULT, M. (2018). Optimization of Electromechanical Studies for the Connection of Hydro Generation MATHIEU GROULT KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING.
XII. Guo, B. (2019). Modelling and advanced controls of variable speed hydro-electric plants.
XIII. Haghighi, M., Mirghavami, S., Chini, S., energy, A.-R., & 2019, u. (n.d.). Developing a method to design and simulation of a very low head axial turbine with adjustable rotor blades. Elsevier.
XIV. Haghighi, M., Mirghavami, S., Ghorani, M., Energy, A.-R., & 2020, u. (n.d.). A numerical study on the performance of a superhydrophobic coated very low head (VLH) axial hydraulic turbine using entropy generation method. Elsevier.
XV. Houde, S., & Deschênes, C. (2019). Numerical investigation of flow in a runner of low-head bulb turbine and correlation with PIV and LDV measurements.
XVI. J French – US Patent 9, 8., & 2018, u. (2018). DIE K A N I K A N AT A UN.
XVII. Jacobsen, T. (2019). Distributed Renewable Generation and Power Flow Control to Improve Power Quality at Northern Senja, Norway.
XVIII. Kim, S. (2019, 9 17). Proportional-type non-linear excitation controller with power angle reference estimator for single-machine infinite-bus power system. IET Generation, Transmission and Distribution, 13(18), 4029-4036.
XIX. Komlanvi, A. (2018). Computer aided design of 3D of renewable energy platform for Togo’s smart grid power system infrastructure Item Type Thesis.
XX. Machowski, J., Bialek, J., & Bumby, J. (2020). POWER SYSTEM DYNAMICS Stability and Control Second Edition.
XXI. Mashlakov, A. (2017). SIMULATION ON DISPERSED VOLTAGE CONTROL IN DISTRIBUTION NETWORK.
XXII. Masson, P., Weil, B., & Hatchuel, A. (2017). Design Theory.
XXIII. Mazhari, I. (2017). DC MICROGRID WITH CONTROLLABLE LOADS.
XXIV. Mukherjee, P., Das, A., & Bera, P. (2020). Design of P-I-D Power System Stabilizer Using Oppositional Krill Herd Algorithm for a Single Machine Infinite Bus System. In P. Mukherjee, A. Das, & P. Bera.
XXV. Naoe, N., on, A.-2., & 2019, u. (n.d.). A Three-Phase PM Generator with Double Rotors for Low-Head Hydropower–Trial Structure and Basic Characteristics. ieeexplore.ieee.org.
XXVI. Nichols, C. (2019). The Design of an In-Conduit Hydropower Plant with a Seal-Free Magnetic Transmission.
XXVII. Nygren, L., Ahola, J., & Ahonen, D. (2017). Programme in Electrical Engineering HYDRAULIC ENERGY HARVESTING WITH VARIABLE-SPEED-DRIVEN CENTRIFUGAL PUMP AS TURBINE.
XXVIII. Oo, M. (2019). Design of 50 kW Kaplan Turbine for Micro hydro Power Plant.
XXIX. Roca, W. (1675). MSc Dissertation Thesis MSc in Sustainable Energy Systems Modelling and Cost Analysis of a Hybrid Wind Turbine and Water Tower System as a Means of Energy Storage.
XXX. Ramana Rao KV, Nagendrababu, M., Valanginisarat, P., & Kallempudi Vahini. (2020). Implementation strategy to minimize the speckle noise from polarimetric sar data. International Journal of Mechanical and Production Engineering Research and Development, 10(3), 5455–5466. https://doi.org/10.24247/ijmperdjun2020520
XXXI. Salehghaffari, H. (n.d.). Hardware-In-The-Loop Vulnerability Analysis of a Single-Machine Infinite-Bus Power System.
XXXII. Shah, N., & Joshi, S. (2019, 3 1). Utilization of DFIG-based wind model for robust damping of the low frequency oscillations in a single SG connected to an infinite bus. International Transactions on Electrical Energy Systems, 29(3).
XXXIII. Shah, N., Electrical, S.-I., & 2019, u. (n.d.). Utilization of DFIG‐based wind model for robust damping of the low frequency oscillations in a single SG connected to an infinite bus. Wiley Online Library.
XXXIV. Shahgholian, G., Hamidpour, H., & Movahedi, A. (2018). Transient Stability Promotion by FACTS Controller Based on Adaptive Inertia Weight Particle Swarm Optimization Method. advances.vsb.cz.
XXXV. Smil, V. (2019). Growth: from microorganisms to megacities.
XXXVI. Yang, W. (2017). Hydropower plants and power systems Dynamic processes and control for stable and efficient operation.
XXXVII. Ye, H., Pei, W., Kong, L., Power, T.-I., & 2018, u. (n.d.). Low-Order Response Modeling for Wind Farm-MTDC Participating in Primary Frequency Controls. ieeexplore.ieee.org.