N.G. Figueroa and J.R. Cedeño (Puerto Rico)
State estimation, differential evolution, evolutionary computation, and evolutionary algorithms.
Differential evolution (DE) is a very simple population based evolutionary computation technique used for solving complex optimization problems. This technique is well-suited for many problems in the power systems area, including state estimation. This paper presents an overview of the state estimation problem and the evolutionary computation field. It also presents a comprehensive description of the differential evolution technique. A methodology for solving the power system state estimation problem, based on the differential evolution technique, is presented. The applicability of the proposed method is validated through a case study.
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