Date of Award
12-2020
Document Type
Thesis
Degree Name
Master of Science
Degree Discipline
Electrical Engineering
Abstract
In recent times, renewable energy production from renewable energy sources is an alternative way to fulfill the increased energy demands. However, the increasing energy demand rate places more pressure, leading to the termination of conventional energy resources. On the other hand, the depletion of fossil fuels like coal, petroleum, natural gas, etc., is creating an adverse effect on the environment. However, the cost of power generation from coal-fired plants is higher than the power generation's price from renewable energy sources. Therefore, it has become a stumbling block balancing this increased energy demand using existing resources and new renewable resources that optimize the total power generation and the cost of power generation. However, power generation from the combined renewable energy sources confronts few complications, such as unstable power generated from the wind generator, the higher operational cost of the hydropower plant, etc. This experiment is focused on cost optimization during power generation through the pumped storage power plant and wind power plant. The entire modeling of cost optimization has been conducted in two parts. The mathematical modeling was done using MATLAB simulation while the hydro and wind power plant's emulation was performed using SCADA designer implementation. The experiment was conducted using ranges of generated power from both power sources. The optimum combination of output power and cost from both generators is determined via MATLAB simulation within the assumed generated output power range. Secondly, the hydro-generator and wind generator's emulation were executed individually through synchronizing the grid to determine each generator's specification using SCADA designer, which provided the optimum power generation from both generators with the specific speed, aligning with results generated through MATLAB. Finally, the operational power cost (with no losses consideration) from MATLAB was compared with the local energy provider to determine the cost-efficiency. This experiment has provided the operational cost optimization of the hydro-wind combined power system with stable wind power generation using SCADA, which will ultimately assist in operations of large-scale power systems, remotely minimizing multi-area dynamic issues while maximizing the system efficiency.
Committee Chair/Advisor
Warsame Ali
Publisher
Prairie View A&M University
Rights
© 2021 Prairie View A & M University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Date of Digitization
4-13-2022
Contributing Institution
John B Coleman Library
City of Publication
Prairie View
MIME Type
Application/PDF
Recommended Citation
Islam, N. (2020). Cost Optimization Modeling of Renewable Energy Sources in Smart Grid Using SCADA. Retrieved from https://digitalcommons.pvamu.edu/pvamu-theses/1479