Optimizing the Photovoltaic (PV) hosting capacity (HC) considering the irradiance's variability properly and the load during the day represents a critical matter. Typically, the high PV HC results in overvoltage and high voltage fluctuations at the point of common coupling (PCC) with the utility. In this paper, a new algorithm is proposed for enhancing PV HC by considering the smart inverter functions to overcome key PCC issues. The Volt-Var and dynamic reactive current functions of the smart inverter are suggested to increase the PV HC. Furthermore, the time of use tariff is utilized for mitigating the duck curve issue at the utility by reducing the peak to valley difference of the substation net load curve. Quasi-static time-series simulations are performed using the OpenDSS program to prove the effectiveness of the proposed algorithm. The proposed algorithm is validated by extensive numerical analysis on the standard IEEE 123 node test feeder. Deduced outcomes are very encouraging in mitigating the overvoltage, reducing the energy losses, limiting the considerable number of on-load tap changes, and alleviating the high voltage fluctuations.

适当考虑辐照度的可变性来优化光伏（PV）承载能力（HC），白天的负载是至关重要的事情。通常，高PV HC在公用设施的公共耦合点（PCC）处会导致过电压和高电压波动。本文提出了一种新的算法，通过考虑智能逆变器功能克服关键的PCC问题来增强PV HC。建议使用智能逆变器的伏特电压和动态无功电流功能来增加PV HC。此外，使用时间费率用于通过减少变电站净负荷曲线的峰谷差来缓解公用事业部门的鸭线曲线问题。使用OpenDSS程序进行了准静态时间序列仿真，以证明所提算法的有效性。通过对标准IEEE 123节点测试馈送器进行广泛的数值分析，验证了该算法的有效性。推论出的结果在减轻过电压，减少能量损失，限制大量有载抽头变化以及减轻高电压波动方面非常令人鼓舞。