Harmony Search Algorithm for Distribution Network Reconfiguration

This paper presents a distribution network reconfiguration algorithm utilizing the Harmony Search Algorithm (HSA). The algorithm enhances distribution network stability and efficiency by optimizing network topology and configuration through iterative improvisation of harmony memory vectors. Our implementation employs fitness evaluation based on power loss minimization and voltage constraint satisfaction, with specialized encoding schemes for representing switch statuses. Validation was performed on the IEEE 33-node test system, where the algorithm demonstrated effective radial structure maintenance through graph theory checks and feasible solution generation. Performance analysis confirms the algorithm's effectiveness in reducing power losses by 12.7% while maintaining all operational constraints. The study contributes a novel methodology to distribution network reconfiguration, incorporating stochastic optimization techniques with practical power system constraints, providing foundations for future research and practical applications in smart grid optimization.