Abstract
Increasingly, there is growth in electric cars globally, and it will keep rising owing to increasing knowledge and interest on the part of people, all while considering the significant environmental and financial effects. Installation in the distribution system of rapid electric vehicle charging stations that meet the increasing charging demand for electric vehicles. Although fast-charging stations are placed in the distribution system, the implementation of these stations leads to adverse effects such as higher power loss and a more inferior voltage profile. To minimize these adverse effects, one must strategically locate charging stations and allocate dispersed generation appropriately across the distribution system. In the article, the negative impacts of charging stations on radial distribution systems and the positive impacts of distributed generation on unbalanced systems to balance single and multiple distributed generation to reduce active and reactive power loss and enhance voltage stability were evaluated for IEEE-25 unbalanced radial distribution systems. The distribution system with sufficient active and reactive power injection has the distributed generation with unity, fixed, and optimum power factor assigned to enhance it. Various optimization strategies were proposed for EVCS allocation, but a novel physics-based meta-heuristic algorithm, Transient search optimization (TSO), which had just been created, was used for multi-objective functions. Based on the modeling findings, the voltage profile improved, and power loss was reduced in every scenario. The convergence features have emerged regarding the new algorithm recently created to coordinate all scenarios with the findings of the outcomes.
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Abbreviations
- ANN:
-
Artificial neural network
- APL:
-
Active power loss
- CO2:
-
Carbon dioxide
- CRAE:
-
Correlation attribute evaluation
- DG:
-
Distributed generation
- EVCS:
-
Electric vehicles charging stations
- EVs:
-
Electric vehicles
- EVSE:
-
Electric vehicle charging station expenditure
- GA:
-
Genetic algorithm
- PSO:
-
Particle swarm optimization
- RAPL:
-
Reduction in active power loss
- TAPL:
-
Total active power loss
- TSO:
-
Transient search optimization
- URDS:
-
Unbalanced radial distribution system
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Bhadoriya, J.S., Gupta, A.R., Zellagui, M., Saxena, N.K., Arya, A.K., Bohre, A.K. (2022). Optimal Allocation of Electric Vehicles Charging Station in Distribution Network Beside DG Using TSO. In: Bohre, A.K., Chaturvedi, P., Kolhe, M.L., Singh, S.N. (eds) Planning of Hybrid Renewable Energy Systems, Electric Vehicles and Microgrid. Energy Systems in Electrical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-0979-5_29
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