Title :
PSO based optimal control for maximizing PV penetration
Author :
Chittesh, V.C. ; Sreedharan, Sasidharan ; Joseph, Tibin ; Das, P. Vipin ; Joseph, Sebin ; Vishnu, J.
Author_Institution :
SAINTGITS Coll. of Eng., India
Abstract :
Recent studies suggest that in medium and long terms, distributed solar photo-voltaic generator (SPVG) will become commercially so attractive that large-scale implementation of this type can be seen in many parts of the world. The increase in the amount of renewable energy will cause stability and security issues in power system. An effective method is used to find out the maximum allowable penetration of renewable energy, in this case Solar PV energy. IEEE 14 bus dynamic model is considered for conducting penetration analysis. Particle swarm optimization (PSO) based algorithm to find the optimal location and maximum penetration at the optimal location is proposed in this paper. Results present the maximum system penetration, optimal location and setting of SPVG, maximum safe bus loading beyond which system becomes unstable.
Keywords :
distributed power generation; optimal control; particle swarm optimisation; photovoltaic power systems; power generation control; power system security; power system stability; IEEE 14-bus dynamic model; PSO-based optimal control; PV penetration maximization; SPVG optimal setting; distributed solar photovoltaic generator; large-scale implementation; maximum allowable penetration; maximum safe bus loading; maximum system penetration; optimal location; particle swarm optimization; penetration analysis; power system security; power system stability; renewable energy; solar PV energy; Generators; Mathematical model; Power system stability; Reactive power; Security; Stability criteria; IEEE 14 Bus; MATLAB; Optimization; PS AT; PSO; Solar PV;
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2014 International Conference on
Print_ISBN :
978-1-4799-5910-5
DOI :
10.1109/ICPCES.2014.7062813
