Optimizing Radial Distribution System With Distributed Generation and EV Charging: A Spotted Hyena Approach

被引：1
|
作者：
Thanikanti, Sudhakar Babu [1 ,2 ]
Yuvaraj, T. [3 ]
Hemalatha, R. [4 ]
Aljafari, Belqasem [5 ]
Nwulu, Nnamdi I. [2 ]
机构：
[1] Chaitanya Bharathi Inst Technol, Dept Elect & Elect Engn, Hyderabad 500075, India
[2] Univ Johannesburg, Ctr Cyber Phys Food Energy & Water Syst, ZA-2006 Johannesburg, South Africa
[3] Najran Univ, Coll Engn, Dept Elect Engn, Najran 11001, Saudi Arabia
[4] Chennai Inst Technol, Ctr Computat Modeling, Chennai 600069, India
[5] Saveetha Engn Coll, Dept Elect & Elect Engn, Chennai 602105, India
来源：
IEEE ACCESS | 2024年 / 12卷
关键词：
Resilience; Reliability; Optimization; Power system stability; Electric vehicle charging; Stability criteria; Resource management; Spotted hyena optimizer algorithm; distributed generation; electric vehicle charging station; radial distribution system; ELECTRIC VEHICLES; OPTIMIZATION; STATIONS; ALLOCATION; CAPACITOR; DSTATCOM; IMPACT;
D O I：
10.1109/ACCESS.2024.3438456
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Ensuring reliability and resilience in radial distribution systems (RDS) is essential for consistent electricity delivery and rapid recovery from disruptions, particularly with the rise of electric vehicles (EVs). This study investigates the impact of EV charging stations (EVCS) on RDS performance, focusing on reliability, resilience, power loss, and voltage stability. We conducted two key studies: (i) enhancing reliability with distributed generation (DG) and EVCS in grid-to-vehicle mode, and (ii) enhancing resilience with DG and EVCS in vehicle-to-grid mode. Using the spotted hyena optimizer algorithm (SHOA), we formulated objective functions to improve RDS performance, comparing results with the cuckoo search algorithm (CSA). Testing on the IEEE 69 bus system demonstrated that SHOA significantly improves reliability and resilience, offering a robust solution for optimizing RDS amidst evolving energy demands.
引用
收藏
页码：113422 / 113441
页数：20
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