Calculation Method of Hosting Capacity for Distributed Grid-connected Photovoltaic Based on IGWO

Abstract

In recent years, the distribution grid has been taking more and more risks due to the large-scale access of distributed photovoltaics (DPV), including potential problems such as voltage overrun and tidal current reversal, which seriously threaten grid security. Therefore, studying the maximum access capacity of distributed photovoltaics in the distribution grid is a research need nowadays. In this paper, we first establish a distributed PV grid-connected optimization operation model for distribution networks, taking into account multi-dimensional constraints such as voltage, load capacity, and active power, and then propose a grey wolf optimization based on particle swarm and Bernoulli chaos mapping, using chaos mapping initialization population, nonlinear convergence factor, and position update idea in the particle swarm algorithm to increase the initial population diversity and solution accuracy. Then, we use the improved grey wolf optimization algorithm (IGWO) as the basis for solving the maximum access capacity of distributed PV for distribution networks. Finally, simulations are conducted on the IEEE-33 node system to exemplify the previously developed model and algorithm.