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Partition of Large Power Networks Using a Metaheuristic Optimization Method

Performing transient stability simulations for multiple contingencies for large interconnected power systems is computationally demanding. Parallel processing is the most obvious approach to speed up the simulation. One approach of allocating computational burden to multiple processors, is to divide the large network into several subnetworks. During each integration time step, sub-networks are solved independently on individual processors and voltage/current information is exchanged at the end of each time step. One challenge with this is the errors introduced due to time step delay. To minimize the source of errors, subdivision of the network must be done in such a way that the number of links between sub-networks is minimized. Furthermore, it is desirable to have weak links between the sub-networks. This paper proposes an application of Genetic Algorithm(GA) to divide the large networks into smaller sub-networks, minimizing the number of interconnections and giving preference to weak interconnections over strong interconnections. The IEEE 118 bus system is split into two equally sized sub-systems. The objective function considers the number of interconnections and number of strong interconnections.