Title :
Designing smart hybrid renewable energy systems with V2G
Author :
Perera, A.T.D. ; Wijesiri, Ashen
Author_Institution :
Dept. of Mech. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
Abstract :
Hybrid Renewable Energy System (HRES)s are gradually getting popular for both grid connected and standalone applications as an eco friendly, economical solution. A novel computational tool to model, simulate and optimize grid connected HRESs with V2G is presented in this study. Mathematical model is combined with a simulation algorithm to evaluate energy flows through the system devices and life cycle cash flow. Life-cycle cost of the system is taken as the objective function to be optimized in order to obtain optimum system configuration. Type and capacity of Solar PV (SPV) panels and wind turbines, and size of V2G charging center are taken as decision space variables. An evolutionary algorithm is used to arrive at optimum system design considering level of grid integration as a constraint. Finally, sensitivity of grid cost on system configuration and energy flow is evaluated.
Keywords :
evolutionary computation; hybrid electric vehicles; hybrid power systems; mathematical programming; power grids; solar cells; wind turbines; SPV panel; V2G charging center; decision space variables; energy flow; evolutionary algorithm; grid connected HRES applications; life cycle cash flow; mathematical model; objective function; optimum system life cycle cost; smart hybrid renewable energy system designing; solar PV panel; standalone applications; wind turbine; Electricity; Mathematical model; Optimization; Renewable energy sources; Sociology; Vehicles; Wind turbines; V2G; evolutionary algorithm; hybrid energy system; optimization;
Conference_Titel :
Information and Automation for Sustainability (ICIAfS), 2014 7th International Conference on
DOI :
10.1109/ICIAFS.2014.7069612
