Stochastic analysis-based assessment for PV hosting capacity considering energy storage systems and dynamic voltage control device in a distribution feeder

Solar PV generation is widespread in the distribution system nowadays, and high-penetration PV brings challenges to reliable grid operation. Taiwan’s government has set a policy goal of achieving 20% of total electricity generation from renewable sources by 2025. However, the intermittent and unpredictable nature of renewable energy leads to voltage deviation and overvoltage in distribution system buses. Nevertheless, increasing PV capacity in distribution feeders is crucial to achieving the 2025 target. This study employs a stochastic analysis method to simulate PV hosting capacity accommodated in a distribution feeder. The study incorporates dynamic reactive power compensation devices for distribution feeders to assess the maximum hosting capacity of PV, in addition to smart inverters and energy storage systems (ESSs). Simulations are performed using OpenDSS with Matlab for power flow calculations and result analysis. The results show that the proposed method is effective for assessing PV hosting capacity in a distribution feeder.