A particle swarm optimization for reactive power and voltage control considering voltage security assessment

This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (Volt/Var Control: VVC) considering voltage security as sessment (VSA), VVC can be formulated as a mixed-integer nonlinear optimiza tion problem (MINLP), The proposed method expands the original PSO to handl e a MINLP and determines an on-line VVC strategy with continuous and discre te control variables such as automatic voltage regulator (AVR) operating va lues of generators, tap positions of on-load tap changer (OLTC) of transfor mers, and the number of reactive power compensation equipment, The method c onsiders voltage security using a continuation power flow and a contingency analysis technique. The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results.