Optimized Power Source Integration (OPSI)

Citation Author(s):
I. V. Banu, M. Istrate
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 22:50
DOI:
10.21227/H2D66D
Data Format:
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License:
Creative Commons Attribution
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Abstract 

Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems

In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.

The theoretical objective of the project is to create algorithms for the control systems, integration of these algorithms in the existing photovoltaic and wind power sources, and an analysis of how such sources will behave once integrated in the electrical power systems and faced with faults and transient regimes.

The practical objective of the project is to develop in Matlab the software modelling the control systems of photovoltaic power plants and wind power plants, and optimize it for operating regimes specific to real power systems. The models of photovoltaic power plants and wind power plants that are published in the scientific literature will be improved with our own models of control systems. Thus, flexible models of integrated power systems with renewable distributed generation will be obtained. Various unbalances and faults will be simulated in these models to analyze transient regimes and to optimize the integration of photovoltaic power plants and wind power plants into the electrical power systems depending on the atmospheric conditions, operating regime of the power system, and market conditions.

Instructions: 

This dataset contain some models of photovoltaic power plants and wind power plants integrated in the electrical power systems carried out in Matlab/Simulink under fault ride-through operation.

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Submitted by Chris Nike on Wed, 03/17/2021 - 01:05