Optimum Cost of Generation for Maximum Loadability Limit of Power System using Multi-Aagent based Particle Swarm Optimisation (MAPSO)

To estimate voltage stability, Maximum Loadability Limit (MLL) is one approach. MLL is the margin between the operating point of the system and the maximum loading point. The optimum cost of generation for MLL of power system can be formulated as an optimisation problem, which consists of two steps namely, computing MLL and the optimum cost of generation for MLL. This paper utilises the newly developed Evolutionary Multi-agent Based Particle Swarm Optimization (MAPSO) in solving this optimisation problem. Details of the implementation of the proposed method to modified IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system are presented. Simulation results show that the proposed approach converges to a better solution much faster, which proves the loadability and applicability of the proposed method.