Self-adaptive harmony search algorithm for optimization
Expert Systems with Applications: An International Journal
Dynamic economic load dispatch with wind energy using modified harmony search
International Journal of Bio-Inspired Computation
A novel global harmony search algorithm for task assignment problem
Journal of Systems and Software
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Survey A survey on applications of the harmony search algorithm
Engineering Applications of Artificial Intelligence
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Power system has a highly interconnected network that requires intense computational effort and resources for centralized control. Distributed computing needs the systems to be partitioned optimally into clusters. The network partitioning is an optimization problem whose objective is to minimize the number of nodes in a cluster and the tie lines between the clusters. Harmony Search(HS) Algorithm is one of the recently developed meta heuristic algorithms that can be applied to optimization problems. In this work, the HS algorithm is applied to the network partitioning problem and power flow based equivalencing is done to represent the external system. Simulation is done on IEEE Standard Test Systems. The algorithm is found to be very effective in partitioning the system hierarchically and the equivalencing method gives accurate results in comparison to the centralized control.