شبیه سازی توزیع شده برای تجزیه و تحلیل سیستم قدرت از جمله سیستم های عرشه کشتی

Power systems are distributed in nature. Often they can be divided into sections or groups and treated separately. Terrestrial power systems are divided into separate utilities and are controlled by different regional transmission organization (RTO). Each RTO has detailed data for the area under its control, but only limited data and boundary measurements of the external network. Additionally, shipboard power systems may be divided into sections where local information is kept but not distributed to other parts of the system. Thus, performing a comprehensive power system analysis in such a case is challenging. Also, simulating a large-scale power system with detailed modeling of the components causes a heavy computational burden. One possible way of relieving this problem is to decouple the network into subsystems and solve the subsystems respectively, and then combine the results of the subsystems to get the solution. The way to decouple the network and represent the missing part will affect the result greatly. Also, due to information distribution in the dispatch or data centers, a problem of doing power system analysis with limited available data arises. The equivalent for other networks needs to be constructed to analyze the power system. In this paper, a distributed simulation algorithm is proposed to handle the issues above. A history of distributed simulation is briefly introduced. A generalized coupling method dealing with natural coupling is proposed. Distributed simulation models are developed and demonstrated in the virtual test bed (VTB). The models are tested with different network configurations. The test results are presented and analyzed. The performance of the distributed simulation is compared with the steady state and time domain simulation results.

The large-scale terrestrial power systems are composed of several utilities and controlled by different regional transmission organizations (RTO). Each RTO has detailed parameters for the area under control, but only limited data of the external network. Usually, each RTO has the right to read only the boundary measurements on the tie lines that connect its control area to others. Thus, performing comprehensive power system analysis in such case is very difficult. Also, for an all-electric ship to ensure its survivability, a weakly meshed zonal network is used. In each zone an intelligent controller coordinates the zonal connection. In the development stage, new equipment needs to be tested before the equipment is installed into the ship power system. While tests with the actual electric ship hardware are costly and risky, a virtual test environment is more affordable and safer to perform a hardware test in the prototype stage. Such hardware-in-the-loop tests can be undertaken as distributed simulation with part of the system simulated in software and part of the response originating from the hardware. Therefore, distributed simulation, which can decouple an entire system into multiple parts, is beneficial to a large-scale power system and shipboard power systems (SPS) analysis. Distributed simulation helps provide quick diagnosis of failures in SPS and better understanding of the system status. An extension of distributed simulation could enable hardware to interact remotely [1] and [2]. For the reasons above, five universities in the US have teamed up for a Department of Defense Multiple University Research Initiative (MURI) project to develop remote testing and measurement (RTM) models and procedures to virtually connect power system laboratories over a distributed network. The MURI project targets setting up a large-scale power system laboratory to carry advanced, non-destructive testing and measurement of power systems [1].

In this paper, a distributed simulation algorithm using the generalized VI coupling method is proposed to handle natural coupling. With a VI coupling model developed in VTB, numerical analysis for convergence and computational stability is performed. The adjusted stabilizing resistance method is proposed to achieve better convergence and stability. Test cases with different network configurations are developed. The distributed simulation performance is analyzed in time domain and steady state. The results demonstrate good performance of this technique. On the other hand, current models for distributed simulation are developed based on RPC techniques, which are used for peer-to-peer communication and suitable for simple networks. While VTB is progressing to provide a COM server, a more promising feature is coming. Therefore, in the next step in our research we will migrate the models from RPC to a COM server and test it with different system configurations.