In this paper, a congestion balanced green charging networks is proposed for the electric vehicles (EVs) in smart grid. Firstly, a problem about the congestion probability balance among the charging stations (CSs) is analyzed and formulated, and then a two-layer optimization model is established based on the profit functions of power plant (PP), CSs and EVs. In the first layer, the optimal generation capacities as well as the charging capacities of CSs are determined, while in the second layer, the sum of each CS's profit and that of the EVs which want to charge at the CS is formulated as a profit maximization problem. The two-layer optimization model solves the congestion probability balance problem in the iterative manner, and finally the congestion balanced smart charging algorithm (CBSCA) is obtained. By comparing with other benchmarks, the results show that CBSCA is converged in an acceptable time, and the congestion probabilities among the CSs are balanced.
|Title of host publication||2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings|
|Number of pages||6|
|Publication status||Published - 15 Jan 2018|
|Event||2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore|
Duration: 4 Dec 2017 → 8 Dec 2017
|Conference||2017 IEEE Global Communications Conference, GLOBECOM 2017|
|Period||4/12/17 → 8/12/17|