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- W4313494295 abstract "Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of EVs to exchange the energy in the upstream grid. This paper study on a new interval-analysis based optimal solution of an IPL by considering the interval uncertainties for the price of upstream gird value. The method based on using an interval-based particle swarm optimization algorithm to optimize an interval objective function with lower and upper limitations with a single-valued output. Simulation results of the presented procedure are compared with a deterministic mixed-integer linear programming to show its superiority. The results show that deviation cost has been decreased up to 10.74% while average cost has been raised into 5.17% which demonstrates the methods high performance in decreasing the average cost of IPL and the reliability of the intelligent parking lot in the presence of uncertainties derived from the upstream grid." @default.
- W4313494295 created "2023-01-06" @default.
- W4313494295 date "2022-02-01" @default.
- W4313494295 modified "2023-10-07" @default.
- W4313494295 title "Optimal Planning of Intelligent Parking IoT Using Interval Particle Swarm Optimization Algorithm in the Presence of Fuel cell and Electrolyzer as Hydrogen Storage System" @default.
- W4313494295 doi "https://doi.org/10.52293/se.1.1.114" @default.
- W4313494295 hasPublicationYear "2022" @default.
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