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The Bacterial Foraging (BF) optimization algorithm imitates the foraging behavior of Escherichia coli (E. coli) bacteria that exist in human intestine, whose foraging habit is modeled as a distributed optimization process. This paper applies the BF algorithm to design optimal controllers of a single-machine-infinite-bus (SMIB) system equipped with an interline power flow controller (IPFC). The system...
The problem of the linear optimal control (LOC) has been strongly involved with selecting the weighting matrices in the cost function. The cost function is parameterized by two matrices, Q and R that weight the state and control vectors, respectively. In fact, the challenge lies in how these weights are chosen. This paper introduces a method to design the elements of Q and R by using genetic algorithm...
This paper presents an strategy approach to solve the optimal power flow (OPF) problem for reactive power dispatch which generally requires many power flow calculations. Artificial neural networks are employed to learn in an offline mode and substitute the role of power flow in the OPF which is formulated as a mix integer nonlinear optimization with network loss minimization as the objective. This...
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