Hosting Capacity Maximization of Wind and Solar DGs in Distribution Networks Using Demand Response and Renewables Curtailment

Abstract

The wind and solar Distributed Generations (DGs) are currently the most used Renewable Energy Sources (RES) based DGs worldwide. The integration of RES in distribution networks has attracted great interest for several objectives; one of the main objectives is to maximize the RES hosting capacity of distribution networks. The wind speed and solar irradiance along with their associated generated power are stochastic in nature and uncertain, and thus their uncertainty should be considered. In this study, a general frame work is presented for the integration of renewable wind and solar DGs, Demand Response (DR), and renewable energy curtailment for hosting capacity maximization of distribution networks, considering renewables uncertainty. The proposed framework is implemented and tested on a standard IEEE 33-radial bus system. The obtained results demonstrate that using different types of renewables is more effective than using only one type for hosting capacity maximization of distribution networks. Moreover, using DR and renewable energy curtailment have proved their effectiveness as active network management (ANM) tools for enhancing the hosting capacity by controlling the load variation and renewables generation, respectively.