Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2008.2788.2800HooshmandRahmat Allah122008816Load shedding and generation reallocation (LSGR) schemes are important
and powerful tools in the present day power systems to maintain system
stability. In this study, a new method has been presented on the basis
of Fuzzy Particle Swarm Optimization (FPSO) algorithm in order to reduce
the LSGR in the form of real optimization. By real optimization in this
method, it means using the discrete variables for LSGR problem by real
steps of load decreasing in every buses and reallocation steps in power
plant productions. Also, by considering the system frequency as an essential
variable and using the electrical load model with the essential constraints,
the LSGR problem is solved. Referring to the above facts and considering
the large number of variables in optimization issue, utilization of the
FPSO algorithm is very useful in finding the optimal procedure for LSGR
problem. Finally, in order to test the proposed method, it has been implemented
on the IEEE 14-Bus system and acceptable results have been obtained.]]>Aik, D.L.H.,2006Ding, Z., S. Srivastava and D. Cartes,2006Gaing, Z.L.,2004Halevi, Y. and D. Kottick,1993Hooshmand, R., V. Tahani and H. Seifi,1998Hsu, C.T., M.S. Kang and C.S. Chen,2005Luan, W., P. Irving, M.R. and J.S. Daniel,2002Palaniswamy, K.A. and J. Sharma,1985Purnomo, M.H., C.A. Patria and E. Purwanto,2002Thalassinakis, E.J., E.N. Dialynas and D. Agoris,2006Tso, S.K., T.X. Zhu, Q.Y. Zeng and K.L. Lo,1997Verzija, V.V.,2006Xu, D. and A. Girgis,2001Yao, L., W. Chi-Chang and R. Liang-Yen,2005You, Y., V. Vittal and Z. Yang,2003