Title :
A new tool for design optimization and cost estimation of stand-alone photovoltaic power plants
Author :
Muoka, P.I. ; Haque, M.E. ; Negnetvitsky, M.
Author_Institution :
Univ. of Tasmania, Hobart, TAS, Australia
Abstract :
To achieve maximum safety, durability, cost-effectiveness and overall system performance, a stand-alone photovoltaic power system must be designed and installed following existing guidelines and codes. Numerous software tools exist to achieve this but many of them are for pre-feasibility analysis, simulation, optimization and research and development. They are rather too sophisticated for system designers and installers who need user-friendly and accurate tools to get the job done in the shortest possible time. This paper presents the development of a Matlab/Simulink-based sizing and simulation tool that utilizes the graphical powers of Simulink and offers the designer a user-friendly platform to size the system components using site-specific design parameters and perform cost estimate of any intended stand-alone photovoltaic power system. The robustness of the tool is validated by the agreement of the results with those of analytical methods.
Keywords :
costing; mathematics computing; photovoltaic power systems; power engineering computing; software tools; Matlab-Simulink-based sizing; cost estimation; design optimization; graphical powers; simulation tool; site-specific design parameters; software tools; stand-alone photovoltaic power plants; Algorithm design and analysis; Arrays; Batteries; Inverters; Mathematical model; Photovoltaic systems; Software tools; Autonomy; batteries; cost estimation; dc-dc converter sizing; insolation; inverter sizing; modules; optimization; photovoltaic power system; software tool;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039166