ABSTRACT
This chapter presents two multifunctional fuzzy-logic-based Automatic generation control (AGC) schemes considering the megawatt hour constraint for the power transmission through the interarea tie-line and the regulation margin for the AGC units. Particle swarm optimization (PSO) is a population-based stochastic optimization technique. The chapter discusses that the PSO algorithm is used to find the optimal value for membership function parameters of a fuzzy-logic-based AGC system. It proposes a desirable AGC performance in the presence of high-penetration wind power in a multiarea power system, a decentralized PSO-based fuzzy logic control design. The PSO-based fuzzy logic AGC design is used for frequency and tie-line power regulation in the presence of wind turbines. The proposed method is applied to an updated version of the ten-generator, thirty-nine-bus system, and the results are compared with those from a conventional proportional integral control design. The efficiency of the proposed control schemes has been demonstrated through nonlinear simulations by using appropriate interconnected power system examples.
