An efficient modelling and hosting capacity analysis of a distribution system integrating PVs supported by the V2G technology

被引:1
|
作者
Ul Hassan, S. Jarjees [1 ]
Mehdi, Arif [1 ]
Song, Jin-Sol [1 ]
Shin, Gwang-Su [1 ]
Alamgir, Shehzad [1 ]
Kim, Ho-Young [1 ]
Kim, Chul-Hwan [1 ]
机构
[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon 16419, South Korea
关键词
Power distribution system; Hosting capacity analysis; Improved analytical-OPF method; PV integration; V2G technology; STOCHASTIC MATHEMATICAL-MODEL; OPTIMAL PLACEMENT; PENETRATION; MULTISTAGE;
D O I
10.1016/j.epsr.2024.110959
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Over the past decade, the production of photovoltaic (PV) systems has increased owing to the rising demand for electricity generation. Recently, the vehicle-to-grid (V2G) technology of electric vehicles (EVs) has also gained interest as a clean and green energy source to support PVs providing sustainable energy. However, this necessitates the efficient modelling of PV output generation and V2G scheme for integration in the distribution system. Despite the advantages of PV and V2G technology, excessive integration potential affects the distribution system. To circumvent these problems, an accurate evaluation of hosting capacity (HC) is essential. This study proposes efficient modelling and a novel, improved analytical-optimal power flow method for HC analysis of distribution systems with PV and V2G integration considering uncertainties. Furthermore, the effects of increasing integration and optimal allocation of PVs and V2G technology on the voltage profile and power losses, respectively, were analysed. The IEEE 33-bus and 69-bus distribution systems were employed to perform the simulation test to obtain results of HC that validated the effectiveness and robustness of the proposed method compared with those of conventional methods. The proposed method provides an accurate, robust, and global-optimum solution. The integration of V2G technology enhances the overall HC of distribution system.
引用
收藏
页数:10
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