Title :
Reduction of Fuel Consumption in PV / Diesel Hybrid Power Generation System by Dynamic Programming Combined With Genetic Algorithm
Author :
Wakao, Shinji ; Nakao, Keigo
Author_Institution :
Dept. of Electr. Eng. & Biosci., Waseda Univ., Tokyo
Abstract :
This paper concerns a photovoltaic/diesel generator hybrid power generation system with storage battery. Utilizing computational optimization methods, we carry out the optimum diesel generator operation and charge-discharge control of storage battery from the viewpoint of fuel consumption. Some numerical results, that demonstrate the validity of the proposed technique, are also presented. The derived trade-off relationship between the minimized fuel consumption and PV-battery capacities is useful for the design of hybrid system as quantitative indices
Keywords :
diesel-electric generators; diesel-electric power stations; dynamic programming; genetic algorithms; hybrid power systems; photovoltaic cells; photovoltaic power systems; PV-battery capacities; PV-diesel hybrid power generation system; charge-discharge control; computational optimization methods; dynamic programming; fuel consumption reduction; genetic algorithm; hybrid system design; photovoltaic-diesel generator; storage battery; trade-off relationship; Batteries; Costs; Dynamic programming; Fuels; Genetic algorithms; Photovoltaic systems; Power generation; Power supplies; Power system modeling; Solar power generation;
Conference_Titel :
Photovoltaic Energy Conversion, Conference Record of the 2006 IEEE 4th World Conference on
Conference_Location :
Waikoloa, HI
Print_ISBN :
1-4244-0017-1
Electronic_ISBN :
1-4244-0017-1
DOI :
10.1109/WCPEC.2006.279659
