Visible to the public Investigation on Security Constrained Optimal Power Flows using Meta-heuristic Techniques

TitleInvestigation on Security Constrained Optimal Power Flows using Meta-heuristic Techniques
Publication TypeConference Paper
Year of Publication2022
AuthorsAnkeshwarapu, Sunil, Sydulu, Maheswarapu
Conference Name2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)
KeywordsBig bang-Big crunch Algorithm (BBBC), Costs, Fuels, Genetic Algorithm (GA), genetic algorithms, Jaya Algorithm (JA), metaheuristics, pubcrawl, resilience, Resiliency, Scalability, security, Security Heuristics, Shuffled Frog Leap based Algorithm (SFLA), simulation, Standards
AbstractIn this work different Meta-heuristic Techniques have been endeavored for addressing the Security Constrained Optimal Power Flow (SCOPF) and Optimal Power Flow (OPF)problem for minimizing the total fuel cost of the system. Here four meta-heuristics i.e. Genetic Algorithm (GA), Big Bang-Big Crunch Algorithm (BBBC), Shuffled Frog Leap Algorithm (SFLA) and Jaya Algorithms (JA) have been discussed. The problem was simulated on IEEE 30 bus standard test system under MATLAB environment. The simulation results show that JA outperforms GA, SFLA, and BBBC in terms of overall cost and computational time.
DOI10.1109/ICICCSP53532.2022.9862459
Citation Keyankeshwarapu_investigation_2022