Energy Management for Grid-Tied PV Systems Using Particle Swarm Optimization

• Main Authors: Buensuceso, Cris Paulo L, Manlapaz, Juan Glicerio C, Reyes, Dalisay M, Peña, Robert Alfie S, Parocha, Raymark C, Macabebe, Erees Queen B
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: energy management system; HOMER pro; microgrid; particle swarm optimization; Electrical and Computer Engineering; Engineering; Oil, Gas, and Energy; Power and Energy; Sustainability
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/137; https://doi.org/10.1109/PECon54459.2022.9988838
• Institution: Ateneo De Manila University

The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid-connected microgrid as the case study.