摘要：a.equa.e da.ping is necessa.y to ma.nta.n the security a.d the relia.ility of power systems. The most-cost effective wa. to enha.ce the sma.l-signa. of a.power system is to use power system controllers k.own a. power system sta.ilizers (PSSs). In genera., the pa.a.eters of these controllers a.e tuned using conventiona. control techniques such a. root locus, pha.e compensa.ion techniques, etc. However, with these methods, it is difficult to ensure a.equa.e sta.ility of the system over a.wide ra.ge of opera.ing conditions. Recently, there ha.e been some a.tempts by resea.chers to use Evolutiona.y a.gorithms (Ea.) such a. Genetic a.gorithms (Ga.), Pa.ticle Swa.m Optimiza.ion, Differentia. Evolution (DE), etc., to optima.ly tune the pa.a.eters of the PSSs over a.wide ra.ge of opera.ing conditions. In this pa.er, a.self-a.a.tive Differentia. Evolution (DE) is used to design a.power system sta.ilizer for sma.l-signa. sta.ility enha.cement of a.power system. By using self-a.a.tive DE, the control pa.a.eters of DE such a. the muta.ion sca.e fa.tor F a.d cross-over ra.e CR a.e ma.e a.a.tive a. the popula.ion evolves. Simula.ion results a.e presented to show the effectiveness of the proposed a.proa.h.