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《AUTOMATION OF ELECTRIC POWER SYSTEMS》 1999-23
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A NOVEL QUADRATIC PENALTY FUNCTION BASED DISCRETIZATION ALGORITHM FOR NEWTON OPTIMAL POWER FLOW

Zhao Jinquan; Hou Zhijian; Wu Jishun (Shanghai Jiaotong University. 200030. Shanghai. China)  
A novel quadratic penalty function based discretization algorithm for Newton optimal power flow (OPF) ispresented. This algorithm utilizes the fictitious costs created by the quadratic penalty functions to drive discrete controls toarrive at one of its steps. The introduction rules are simple and effective. It works well with Newton OPF algorithm. Thenumerical results of one IEEE standard test system and two Chinese actual networks show that this algorithm can get goodprecision with satisfactory convergence. save more computational time and has better numerical stability.
【CateGory Index】: TM76
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