Initializing Successive Linear Programming Solver for ACOPF using Machine Learning

2020 52nd North American Power Symposium (NAPS)(2021)

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摘要
A Successive linear programming (SLP) approach is one of the favorable approaches for solving large scale nonlinear optimization problems. Solving an alternating current optimal power flow (ACOPF) problem is no exception, particularly considering the large real-world transmission networks across the country. It is, however, essential to improve the computational performance of the SLP algorithm. O...
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关键词
Industries,Machine learning algorithms,Machine learning,Prediction algorithms,Linear programming,Libraries,Optimization
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