Backtracking Search Algorithm With Single and Multi-Objective Function for the Solution of Optimal Power Flow Problem

Sriparna Banerjee, Dhiman Banerjee, Provas Roy

OAI: oai:igi-global.com:284581 • DOI: 10.4018/IJAMC.2022010110

This manuscript investigates the performance of the backtracking search algorithm (BSA) to minimize various objectives for an economical and secure power system. A variety of single and multi - objectives are delineated and solved. This manuscript also includes the valve-point loading effect alongside the objectives considered. The simulation has been computed in the IEEE 30-bus, IEEE 57-bus and IEEE 118-bus test network. The simulation outcomes as obtained by the proposed BSA and various algorithms are compared. Convergence curves are plotted to testify the characteristics of the proposed BSA for proceeding towards the global minima.

Algorithms Computer Science and Information Technology Artificial Intelligence