Abstract
This paper addresses the optimal power flow (OPF) issue by using the CONOPT solver for nonlinear programming embedded in the Generalized Algebraic Modeling System (GAMS) software package. The research is performed on both standard IEEE 30-bus test systems and their modified version. The system modification has been done in order to assess the impact of the integrated renewable energy sources, primarily wind energy sources, on the OPF. The obtained results strongly confirm the GAMS/CONOPT efficiency for solving the OPF problem. GAMS/CONOPT always converges to the same optimal solution contrary to many well-known optimization techniques. Additionally, the GAMS/CONOPT requested computation time considerably outperforms that of the other techniques in the field (in all analyzed cases, in the worst situation, more than 30 times). These performances promote GAMS/CONOPT as a very successive tool for solving the real-time OPF problem.
Highlights
The energy sector has undergone significant changes over the last few decades
This paper addresses the optimal power flow (OPF) issue by using the CONOPT solver for nonlinear programming embedded in the Generalized Algebraic Modeling System (GAMS) software package
This paper deals with the application of the CONOPT solver for nonlinear programming (NLP) imbedded in the GAMS software package for the OPF problem
Summary
The energy sector has undergone significant changes over the last few decades. Technological innovations, economic reasons, and political decisions inspired by environmental protection have led to the emergence of modern power systems. The OPF problem can be solved by using traditional optimization methods[2,3,4,5,6] or by using some of the various population-based optimization techniques.[7–53] The traditional optimization methods, such as the Newton method (NM),[2] gradient projection method (GPM),[3] linear programming method (LPM),[4] interior point method (IPM),[5] and bisection method (BM),[6] require linearization of the objective function or neglecting constrains, and the methods from this group do not guarantee finding the global optimum.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
