| The simulation of power system behavior is a highly useful tool for planning, analysis of power system stability, and operator training. Traditionally, small power system studies are dominated by the time taken to solve the machine dynamics equations, while larger studies are dominated by the time taken to solve the network equations. With the trend towards more sophisticated and realistic modeling, the size and complexity of simulations of a power system are growing tremendously. The ever-increasing need for computational power can be satisfied by the application of distributed simulation.; Power systems are distributed in nature. The terrestrial power systems are divided into groups and controlled by different Regional Transmission Organization (RTO). Each RTO owns the detailed parameter for the area under control, but only limited data and boundary measurement of the external network. Thus, performing power system analysis in such cases is a challenge. Also, simulating a large-scale power system with detailed modeling of the components creates a heavy computational burden.; One possible way of relieving this problem is to decouple the network into subsystems and solve the subsystem respectively, and then combine the results of the subsystems to get the solution. The way of decoupling a network and representing the missing part will affect the result greatly. Also, due to information distribution in the dispatch centers, the problem of doing power system analysis with limited data available arises. The equivalents for other networks need to be constructed to be able to analyze the power system.; This research work proposes a distributed simulation algorithm to handle the issues above. It introduces the history of distributed simulation, proposes a generalized coupling method dealing with natural coupling, and develops and demonstrates distributed simulation models are in the Virtual Test Bed (VTB). The models undergoes tests with different network configurations. A presentation and analysis of the test results follow. The performance of the distributed simulation compares satisfactorily with the steady state result and time domain simulation result. |
