Abstract

In this paper Improved Strength Pareto Evolutionary Algorithm (SPEA2) is presented and developed for Multiobjective Optimal Power Flow (OPF) problem. The generation OPF optimization problem is formulated as a nonlinear constrained multiobjective problem where the generation real power and the system voltage stability are optimized concurrently. Truncation algorithms are used to manage the Pareto-Optimal set size. The best compromise solution is extracted using fuzzy set theory. The SPEA2 performance results were compared to Strength Pareto Evolutionary Algorithm (SPEA) performance results. The results exhibit the capabilities of the proposed approach in produce well-distributed Pareto-optimal solutions for the subject multiobjective OPF optimization problem.

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 call

Disclaimer: 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.