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A semismooth subdifferential method (SSM) for solving optimal power flow (OPF) is presented. The Karush-Kuhn-Tucker (KKT) conditions of OPF system, by introducing nonlinear complementarity problem (NCP) function, are transformed equivalently to a set of semismooth nonlinear algebraic equations. Then an inexact Levenberg-Marquardt (L-M) algorithm based on the subdifferential is improved and employed...
This paper presents a probabilistic optimal power flow (POPF) algorithm taking account of the variation of load power. In the algorithm, system load is taken as a random vector, which allows us to consider the uncertainties and correlations of load. By introducing the nonlinear complementarity problem (NCP) function, the Karush-Kuhn-Tucker (KKT) conditions of POPF system are transformed equivalently...
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