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# Modeling and optimization of a hydroelectric power plant for a national grid power system supply. Case study: Stratos Hydroelectric Dam

#### Margonis Panagiotis-Georgios

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 URI: http://purl.tuc.gr/dl/dias/C8A1E4A2-78CA-4EAC-A249-174CBFCEB97A Year 2017 Type of Item Diploma Work License Bibliographic Citation Panagiotis-Georgios Margonis, "Modeling and optimization of a hydroelectric power plant for a national grid power system supply. Case study: Stratos hydroelectric dam", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017 https://doi.org/10.26233/heallink.tuc.67651 Appears in Collections Diploma Works in Community School of Electrical and Computer EngineeringDiploma Works in Community Circuits, Sensors and Renewable Energy Sources Laboratory

## Summary

Renewable Energy Sources (RES) are defined as energy sources, which are in abundance in the natural environment and are practically inexhaustible. More specific Hydroelectricity (HE) is an important component of world renewable energy supply and hydropower remains a major source of electricity generation due to its environmental friendly nature. In Greece the total installed capacity exceeds 3 GW. In this diploma thesis I am focusing in the Modeling and the Optimization of a Hydroelectric Power Plant. As numerical models I use the Kastraki HPP (320 MW) and Stratos I HPP (150 MW) because I had my internship in those two stations during the summer of 2015 and I had access to special parameters of the units after communication with the supervisor engineers of my internship. Modeling is the analysis of the non-linear models that can represent the basic components of a HPP (governor, turbine, servomotor). This thesis studies accurate and detailed hydro turbine and governor models, and the implementation of these models in Matlab/Simulink combined with the Simscape Power Systems (SPS). The way of their implementation and the construction of the two stations in Matlab/Simulink is explained analytically using basic function blocks or modifications of them. For the purpose of the Optimization I tried the heuristic Ziegler–Nichols tuning method in order to specify the coefficients of governor (PID-PI) under different percentages of electricity production of the unit. Also Matlab/Simuling gave me the opportunity to record and compare the figures of the two station with PID & PI controllers through simulation tests in the most common cases (three-phase fault, load demand change, change in the production level of each unit) with a view of studying the efficiency and the stability of these two generating stations.