Design of a python tool for solving multiperiod Alternate Current Optimal Power Flow for Energy Management Systems of micro-grids
Tutor/a - Director/a
Gonzalez Iakl, Esteban Daniel
Estudiant
Soler Prat, Alex
Tipus de document
Projecte Final de Màster Oficial
Data
2023
rights
Accés obert
Editorial
Universitat Politècnica de Catalunya
UPCommons
Resum
Microgrids have emerged as a promising solution for energy management in localized power systems, offering
reliability, efficiency and integration of renewable energy resources. However, the efficient operation of mi-
crogrids pose considerable challenges due to their inherent complexity and intermittent nature of renewable
energy sources. To address these challenges, this master thesis investigates the application of a multi-period
Alternating Current Optimal Power Flow (ACOPF) for energy management systems in micro-grids. This re-
search focuses on the development of Python based optimization tool for ACOPF based energy management
systems in micro-grids. The thesis begins with a comprehensive review of the existing literature on micro-grid
operation, highlighting the significance of ACOPF and a brief introduction to optimization. The thesis then
presents a detailed formulation of the ACOPF problem, considering various aspects such as loads, generation,
energy storage systems and grid connection constraints, among others. Mathematical models and optimization
algorithms are employed to derive optimal power dispatch that minimize cost, ensure voltage stability and
maintain power quality within acceptable limits. To validate the effectiveness of the proposed ACOPF-based
energy management system, extensive simulations and case studies are conducted using representative micro-
grid examples. The simulations incorporate various scenarios to assess the system's performance under different
operating conditions and evaluate the impacts of key parameters on the overall system results.
Professorat participant
- Gonzalez Iakl, Esteban Daniel