Abstract The adoption of electric vehicles (EVs) is crucial for reducing pollution from traditional automobiles. Strategic placement of electric vehicle charging stations (EVCS) is needed to meet demand while minimizing impacts on the electrical grid. This article outlines a practical method to identify optimal EVCS locations within the IEEE 69 bus system. The transition to EVs affects the electrical distribution network, requiring consideration of voltage regulation, power loss, stability, reliability, and energy loss costs when deploying EVCS. To manage increased energy demands, the article recommends integrating solar distributed generation (SDG) units at strategic points in the network, creating a selfâsustaining system. The study explores the resilience of the distribution system with EVCS and SDGs through eight case studies (CS), examining EVCS deployment scenarios with and without SDG integration. The impact of slow and fast EV charging on system objectives is also analysed. The artificial hummingbird algorithm is used to solve the allocation problem, with results compared to other optimization methods. Notably, active power loss decreased from 224.67 kW (CS1) to 53.35 kW (CS8), and reactive power loss was reduced by 71.4% in CS8 compared to CS1.
- A probabilistic approach for optimal integration of EVs and RES using artificial hummingbird algorithm in distribution network
- Mohd Bilal - University of JohannesburgSaket Gupta - Department of Instrumentation and Control Engineering BVCOE New Delhi IndiaPitshou N. Bokoro - Department of Electrical Engineering Technology University of Johannesburg Johannesburg South AfricaGulshan Sharma - University of Johannesburg
- IET renewable power generation, Vol.18(14), pp.2305-2325
- 21
- 9947505207691
- @2024 The Authors
- 1752-1416
- Department of Electrical Engineering Technology; Faculty of Engineering & the Built Environment; University of Johannesburg
- English
- Journal article