Title :
Probabilistic optimal placement of EV parking considering different operation strategies
Author :
Aghaebrahimi, M.R. ; Ghasemipour, M.M. ; Sedghi, A.
Author_Institution :
Dept. of Power Eng., Univ. of Birjand, Birjand, Iran
Abstract :
In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots is very important for the distribution companies from the losses and network voltage points of view. Power characteristic of electric vehicle parking lots has a non-deterministic and probabilistic nature. On the other hand, the power injected by them could shift peak load hours of the system. So, the optimal placement of EVP based on the peak load of the system would not result in actual solution of the problem. In this paper, the effect of different electric vehicle operating strategies on placement of administrative and residential parking lots, losses and distribution network´s voltage has been investigated. The optimal placement of EVP has been carried out based on probabilistic load and generation models of parking lots and a proper approximation of annual hourly load. A novel hybrid method, based on cuckoo´s optimization algorithm and sequential Monte Carlo simulation, has been used for optimization.
Keywords :
Monte Carlo methods; electric vehicles; optimal control; optimisation; pollution control; road traffic control; EV parking; cuckoo optimization algorithm; electric vehicle operation; electric vehicle parking lots; electrification; environmental pollution; power characteristic; probabilistic optimal placement; sequential Monte Carlo simulation; transportation fleet; Batteries; Birds; Discharges (electric); Load modeling; Optimization; Probabilistic logic; Vehicles; Optimal placement of EVP; cuckoo´s optimization algorithm; distribution network; electric vehicles; sequential Monte Carlo;
Conference_Titel :
Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
Conference_Location :
Beirut
DOI :
10.1109/MELCON.2014.6820516