Notice of RetractionHybrid Optimization Algorithm of Corrosion Diagnosis for Grounding Grid

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The steel grounding grid buried in earth will corrode and become hidden danger to the safety of power system. It is important to examine the state of grounding. Particle swarm optimization (PSO) is a population-based, self-adaptive search optimization technique. This paper used combination of rotating and encouraging each location and incentives, many measurement method, established a new non-linear constrained optimization model which target is minimum energy, and proposed the grounding hybrid optimization algorithm, the issue use double-layer evolutionary strategy and double-fitness comparative law, after evolving each particle by basic PSO algorithm, use the method which solve linear programming problems for partial update to reduce the particles of non-feasibility, so as to increase computing speed and computational efficiency purposes. The new mathematical model and the corresponding hybrid optimization algorithm solve the problem with multiple solutions when there are fewer nodes; thereby detect the possible corrosion of branches.