  The optimization of the size and location of Photovoltaic (PV) Distributed
Generation (DG) is a method for reducing distribution networks loss, cutting
costs for utilities, and integrating renewable energy into the power grid.
However, this optimization problem is a difficult mixed continuous discrete
problem that is difficult to solve efficiently. Herein, we propose a novel
Sequential PVDG Placement algorithm which utilizes a Downstream Power Index
(DPI) for PV allocation. We compare Sequential PVDG Placement results with
those of Shuffled Frog Leaping Algorithm (SFLA), a memetic heuristic algorithm.
Our algorithm demonstrates similar accuracy and drastically less computation
time compared to SFLA. Given its high accuracy and low computation time,
sequential PVDG allocation algorithm may be useful for rapid online power
dispatch, long-term planning, and microgrid operations under high penetration
of renewable sources.
