Abstract
Abstract Optimal Network Reconfiguration (ONR) is one of the technique utilized by distribution operators in normal and emergency condition for optimal operation of the distribution system. In this article, a Multi-Objective Invasive Weed Optimization (MOIWO) Algorithm is proposed to solve the Optimal Network Reconfiguration (ONR). While solving ONR of the radial distribution system, minimization of active power loss, maximum node voltage deviation, number of switching operations and the load balancing index are considered as the objectives simultaneously. For adopting Invasive Weed Optimization (IWO) Algorithm for solving this multi-objective problem, a non-dominated sorting technique and crowding distance are used to rank the weeds. To investigate the feasibility of the proposed algorithm, it is tested on standard IEEE 33-Bus Test Radial Distribution System and 84 Bus Taiwan Power Company (TPC) Practical Distribution Network. For an analysis of the load flows in a radial distribution system Backward/Forward sweep load flow algorithm is implemented. The performance of the proposed algorithm is compared with results available in recent literature and it is observed that the proposed method produces a high quality Pareto solution and finds a global optimum configuration.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Electrical Power & Energy Systems
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.