Title :
An optimal capacity allocation scheme for the wind-PV hybrid power system based on probabilistic production simulation
Author :
Yuan Zhu ; Ping Jiang ; Shaojin Yang
Author_Institution :
Sch. of Electr. Eng., Southeast Univ., Nanjing, China
Abstract :
In this paper, a probabilistic production simulation (PPS) based on the equivalent energy and frequency function method is proposed to analyze the power supply reliability and the production cost of a wind-photovoltaic (PV) hybrid generation system. Compared with the wind power generation system that has the same installed capacity, the wind-PV hybrid generation system increases the value loss of load probability (LOLP) and expected energy not supplied (EENS), but reduces the volatility of the output and frequency of generator start-stop of unit capacity (FGSUC) due to the complementary nature between wind and solar energy. So the production cost can be reduced. Simultaneously, the optimization method of the windsolar hybrid generation system capacity is proposed, which target is to achieve a minimum production cost. The case studies has been carried out on an EPRI 36-bus system, and the results demonstrate the effectiveness of the proposed method.
Keywords :
costing; hybrid power systems; photovoltaic power systems; power generation economics; power generation reliability; probability; solar power stations; wind power plants; EENS; EPRI 36-bus system; FGSUC; LOLP; PPS; equivalent energy method; expected energy not supply; frequency function method; frequency of generator start-stop of unit capacity; loss of load probability; optimal capacity allocation scheme; optimization method; power supply reliability analysis; probabilistic production simulation; production cost; solar energy; volatility reduction; wind energy; wind-PV hybrid power system; wind-photovoltaic hybrid generation system; wind-solar hybrid generation system; Generators; Mathematical model; Power generation; Probabilistic logic; Production; Reliability; Resource management; cost; optimal capacity allocation; probabilistic production simulation; reliability; wind-PV hybrid system;
Conference_Titel :
Energy Conversion (CENCON), 2014 IEEE Conference on
Conference_Location :
Johor Bahru
DOI :
10.1109/CENCON.2014.6967515