Title :
Modeling and operation characteristics of large-scale photovoltaic power plants based on PSASP
Author :
Yifei Xu ; Meng Qin ; Jiao He ; Dehua Zhang
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Photovoltaic (PV) power plants which convert light energy into electrical energy are developing rapidly in recent years due to the improvement of environmental awareness amongst the general public. As large-scale PV power plants are connected to the grid, they will have a great impact on the power grid. Due to the lack of the model of large-scale PV power plants in current power system analysis software. A novel model of the PV power plant is constructed based on PSASP7.0 in this paper. After that, a new method of the maximum power point tracking (MPPT) is designed. Then, the model is debugged and verified in the case of static state, dynamic state and grid failures by the WSCC-9 example system. Finally, results show that the model proposed is correct and reasonable.
Keywords :
maximum power point trackers; photovoltaic power systems; power generation faults; power generation reliability; power system analysis computing; MPPT; PSASP7.0; WSCC-9 example system; dynamic state; electrical energy; grid failures; large-scale PV power plants; large-scale photovoltaic power plants; light energy; maximum power point tracking; operation characteristics; power grid; power system analysis software; static state; Analytical models; Arrays; Mathematical model; Maximum power point trackers; Photovoltaic systems; PSASP7.0; PV power plants; model; operation characteristics; the grid;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7014048