Sequential Optimal Placement of Distributed Photovoltaics using Downstream Power Index

TL;DR

This paper introduces a sequential PV placement algorithm using a Downstream Power Index that achieves high accuracy with significantly reduced computation time compared to heuristic methods, aiding rapid power dispatch and planning.

Contribution

The paper presents a novel sequential placement algorithm for PVs utilizing DPI, offering a more efficient alternative to heuristic algorithms like SFLA.

Findings

Comparable accuracy to SFLA

Significantly lower computation time

Potential for real-time power management

Abstract

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.