Mat Syai'in and Adi Soeprijanto and Takashi Hiyama Generator Capability Curve Constraint for PSO Based Optimal Power Flow
1079 - 1084
2009
3
5
International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering http://waset.org/publications/542
http://waset.org/publications/29
World Academy of Science, Engineering and Technology
An optimal power flow (OPF) based on particle swarm
optimization (PSO) was developed with more realistic generator
security constraint using the capability curve instead of only PminPmax
and QminQmax. Neural network (NN) was used in designing digital
capability curve and the security check algorithm. The algorithm is
very simple and flexible especially for representing non linear
generation operation limit near steady state stability limit and under
excitation operation area. In effort to avoid local optimal power flow
solution, the particle swarm optimization was implemented with
enough widespread initial population. The objective function used in
the optimization process is electric production cost which is
dominated by fuel cost. The proposed method was implemented at
Java Bali 500 kV power systems contain of 7 generators and 20
buses. The simulation result shows that the combination of generator
power output resulted from the proposed method was more economic
compared with the result using conventional constraint but operated
at more marginal operating point.
International Science Index 29, 2009