Sequential feasible optimal power flow in power systems  被引量:1

Sequential feasible optimal power flow in power systems

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作  者:ZhenXiang Han  QuanYuan Jiang YiJia Cao 

机构地区:[1]1. College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China

出  处:《Science China(Technological Sciences)》2009年第2期429-435,共7页中国科学(技术科学英文版)

基  金:Supported by the National Natural Science Fundation of China (Grant No.50507018,60421002)

摘  要:A sequential feasible optimal power flow (OPF) method is developed for large-scale power systems. One of the outstanding features of this method is that it can maintain feasibility for both equality and inequality constraints during iterations. In sequential feasible OPF, every iteration consists of two stages: Objective improving stage and feasibility enforcing stage. Analytical basis for each stage is provided. Numerical studies on various power systems up to 2383 buses indicate that the proposed feasible approach is promising. Compared with the conventional OPF algorithms, such as interior point method, the proposed sequential feasible OPF approach can be terminated at any iteration and yield a feasible operating point simultaneously.A sequential feasible optimal power flow (OPF) method is developed for large-scale power systems. One of the outstanding features of this method is that it can maintain feasibility for both equality and inequality constraints during iterations. In sequential feasible OPF, every iteration consists of two stages: Objective improving stage and feasibility enforcing stage. Analytical basis for each stage is provided. Numerical studies on various power systems up to 2383 buses indicate that the proposed feasible approach is promising. Compared with the conventional OPF algorithms, such as interior point method, the proposed sequential feasible OPF approach can be terminated at any iteration and yield a feasible operating point simultaneously.

关 键 词:optimal power flow SEQUENTIAL feasible solution INTERIOR POINT method NEAR BINDING 

分 类 号:TM711[电气工程—电力系统及自动化]

 

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