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http://10.1.7.192:80/jspui/handle/123456789/11585
Title: | Exploration of Co-simulation Based Strategy for Thermal Power Plant |
Authors: | Bajaj, Jitesh |
Keywords: | IC 2013 Project Report 2013 IC Project Report Project Report 13MIC 13MICC 13MICC08 Control & Automation Control & Automation 2013 IC (Control & Automation) |
Issue Date: | 1-Jun-2015 |
Publisher: | Institute of Technology |
Series/Report no.: | 13MICC08; |
Abstract: | The aim of the thesis is to explore a co-simulation strategy for combined power plant simulation case studies. The combined cycle power plants have the prime mover system coupled with electrical systems. A combined cycle power plant process consists of Gas Turbine, Heat Recovery Steam Generator (HRSG), Steam Turbine, Electrical Generator, Electrical Transformer, Substation and Transmission Grid etc. Due to the stiffness of the system, it is a daunting task to model and study full dynamics of both electrical and process plant on a single platform package. A co-simulation approach is proposed as a solution to this problem. The proposed statement of work is to develop a hi-fidelity electrical models using Matlab® Simpowersystem and integrate with the in-house process models, and validate this simulation with some industrial test cases conducted earlier. Matlab® Simpowersystem is a simulation tool-box of M/s Mathworks with a focus on electrical modeling and simulation. A similar co-simulation strategy is also proposed to utilize the capability of individual tools/packages as an extension of this work. Towards this, a co-simulation of combined cycle power plant model and to develop a dynamic load flow analysis algorithm to understand the dynamics of the multi-generator power systems. The proposed problem statement is to be addressed and solved by implementing the dynamic load flow tool which could work for 5 bus system. Finally the results are to be compared with Matlab® Simpowersystem and other electrical modeling tools. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/11585 |
Appears in Collections: | Dissertations, E&I |
Files in This Item:
File | Description | Size | Format | |
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13MICC08.pdf | 13MICC08 | 1.43 MB | Adobe PDF | ![]() View/Open |
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