Abstract
The global interest in increasing photovoltaic (PV) hosting capacity has lately grown. This research focuses on introducing a unique stochastic strategy that can optimize the hosting capacity of PV in modern distribution networks. The suggested strategy is based on combined control techniques of practical control devices, such as taps of transformers as well as reactive power sources. It also takes into account the distributed electrical vehicles (EVs) with their stochastic model and full features of their batteries. Furthermore, the PV planning model takes into account the reactive power provided by the PV inverter. The PV planning model is solved by a developed bi-layer grey wolf optimizer. The optimizer–s inner layer adjusts the charging/discharging power of the interconnected EV batteries, transformer taps, besides reactive power injection. In turn, the outer layer maximizes PV capacities. Many scenarios are run on an IEEE distribution system to evaluate the efficacy of the suggested planning strategy of multiple PVs with EVs. The suggested method has the ability to enhance the PV hosting capacity at a significant rate while properly the various practical control devices in a corresponding way.
Published Version
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