A fuzzy optimization approach to PV/battery scheduling with uncertainty in PV generation

With new developments in technologies, grid-connected photovoltaic (PV) systems are becoming increasingly attractive as a generation technology, due to many factors, including environmental concerns and transmission congestion management. Additionally, PV generators are often paired with energy storage elements, such as batteries, to store excess power generated during off-peak hours to be returned to the system when generation is more expensive. For system economic operation, the PV/Battery commitment and dispatch must be optimal. However, the generation is not known in advance, as it is dependant on weather factors that are not completely predictable. This paper presents a unit commitment and economic dispatch solution for the PV/Battery system using fuzzy optimization to model the uncertainty in PV generation based on mixed-integer programming.