Design of a python tool for solving multiperiod Alternate Current Optimal Power Flow for Energy Management Systems of micro-grids
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 intermi...
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| Format: | master thesis |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/398269 |
| Online Access: | https://hdl.handle.net/2117/398269 |
| Access Level: | Open access |
| Keyword: | Microgrids and active power distribution networks Renewable energy sources Energies renovables Microxarxes (Xarxes elèctriques intel·ligents) Àrees temàtiques de la UPC::Energies::Recursos energètics renovables |
| Summary: | 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. |
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