Title :
Wind-photovoltaic capacity coordination for a time-of-use rate industrial user
Author :
Lee, T.-Y. ; Chen, C.-L.
Author_Institution :
Dept. of Electr. Eng., Minghsing Univ. of Sci. & Technol., Hsinchu
fDate :
6/1/2009 12:00:00 AM
Abstract :
As the capacity of wind and photovoltaic (PV) generation systems increases, wind-PV capacity coordination for a time-of-use (TOU) rate industrial user may become an important problem. This coordination can maximise the economic benefits of investing in a wind generation system and a PV generation system. An evolutionary particle swarm optimisation approach to solve the wind-PV capacity coordination for a TOU rate industrial user is proposed. A benefit-cost ratio (BCR) is used to evaluate the economic benefit of investing in wind and PV generation systems for a TOU rate industrial user. The optimal contract capacities and the optimal installed capacities of the wind and PV generation systems for a TOU rate industrial user are obtained. The BCR of investing in wind and PV generation systems are maximised. Test results illustrate the merits of the proposed approach and help determine the impact of changes in electricity cost and capital cost on wind-PV capacity coordination for a TOU rate industrial user.
Keywords :
particle swarm optimisation; photovoltaic power systems; power generation economics; wind power plants; PV generation system; benefit-cost ratio; evolutionary particle swarm optimisation approach; time-of-use rate industrial user; wind generation systems; wind-photovoltaic capacity coordination;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg:20070068