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Finding improved local minima of power system optimization problems by interior-point methods

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4 Author(s)
Santos, J.R. ; Dept. of Electr. Eng., Univ. of Seville, Spain ; Lora, A.T. ; Exposito, A.G. ; Martinez Ramos, J.L.

This paper presents a simple heuristic technique to deal with multiple local minima in nonconvex, nonlinear power system optimization problems by solving a sequence of interior-point subproblems. Both the real-valued and the mixed-integer cases are separately discussed. The method is then applied to the unit commitment problem and its performance on realistic cases is compared with that of a genetic algorithm (GA).

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Power Systems, IEEE Transactions on  (Volume:18 ,  Issue: 1 )