Title :
Optimization of TOU price of electricity based on Electric Vehicle orderly charge
Author :
Hong Liu ; Shaoyun Ge
Author_Institution :
Key Lab. of Smart Grid, Tianjin Univ., Tianjin, China
Abstract :
This paper presents a model to optimize time-of-use (TOU) electricity price for the purpose of making use of orderly charge behavior by Electric Vehicles (EV) and realizing peak-shaving and valley-filling for power systems. Firstly, the charge response to TOU electricity price by EV users was modeled. The load profile of EV charge was simulated using Monte Carlo method. The EV charge load was aggregated with the original load of power systems and actual load profile was created. an optimization model was built to minimize ratio of peak load to valley load. A genetic algorithm was applied to gain optimal arrangement of TOU electricity price. Case study shows the rationality of this model and method..
Keywords :
Monte Carlo methods; electric vehicles; genetic algorithms; pricing; EV charge load; Monte Carlo method; TOU electricity price; TOU price optimization; charge response; electric vehicle orderly charge; genetic algorithm; load profile; peak load minimization; peak-shaving; power systems; time-of-use electricity price; valley-filling; Cities and towns; Electric vehicles; Electricity; Load modeling; TOU price of electricity; electric vehicle; genetic algorithm; orderly charge;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672410
