Title :
A study of DC-AC inverter optimization for photovoltaic power generation system
Author :
Kuo, Ming-Tse ; Lu, Shiue-Der
Author_Institution :
Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
Traditionally, photovoltaic (PV) generating systems connect panels either in serial or parallel order prior to converting voltage using an inverter. The required capacity of an inverter increases in conjunction with the increasing scale of PV generating systems. This phenomenon increases overall system cost and prevents optimal power conversion; it also creates the risk of total system failure in the event of inverter malfunction. Consequently, using a structure in which each panel is paired with its own inverter, this paper proposes a combination algorithm (CA) to serve as the basis for converter switching. This algorithm increases the efficiency of the PV generating system, reduces risk of malfunction, and optimizes power distribution to inverters. In addition, if energy can be distributed to multiple inverters that switch on in sequence instead of simultaneously, the most efficient conversion of total energy will be enabled, increasing conversion efficiency. Modeling and field testing results show that increases in PV efficiency for low power output are highly significant. This study is an important reference for PV system designers during initial planning stages.
Keywords :
DC-AC power convertors; failure analysis; optimisation; photovoltaic power systems; power generation planning; power generation reliability; risk analysis; DC-AC inverter optimization; PV generating systems; combination algorithm; optimal power conversion; photovoltaic power generation system; total system failure; Algorithm design and analysis; Inverters; Mathematical model; Photovoltaic cells; Photovoltaic systems; Switches; Combinatorial mathematics; DC-AC power conversion; Microcontrollers; Optimal control; Photovoltaic cells;
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0330-9
Electronic_ISBN :
0197-2618
DOI :
10.1109/IAS.2012.6374000