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基于调度中心间的广域通信网络进行分布式暂态稳定仿真,需要尽可能减少协调计算过程所需通信次数,以克服较高通信延时对仿真效率的影响。文中提出了一种基于逆Broyden拟牛顿法的分布式暂态稳定仿真算法。该算法采用节点撕裂法对互联电网进行切分,并采用逆Broyden拟牛顿法求解边界协调方程,从而实现暂态稳定仿真分解协调计算。对IEEE 39节点系统和东北—华北—华中联网系统的测试结果表明,所提出的算法具有较高的计算准确性和收敛速度,即使在高延时广域通信网络中也可实现超实时仿真,具有较强的实用性。
Generally, the distributed transient simulations among different dispatching centers are carried out in the wide area networks. To overcome the high-latency of remote data exchanges, the communication number for the distributed transient simulation should be reduced as much as possible. In this paper, a new algorithm for the distributed transient simulation is proposed based on the inverse Broyden quasi Newton iteration method. An interconnected power system is firstly decomposed into several sub-areas using nodal decomposition method. Then, the inverse Broyden quasi Newton method is used to solve the implicit boundary equations. This is equivalent to performing the transient simulation of the overall system in a decomposed and coordinated manner. Test results of the IEEE 39-bus system and a practical power system, the Northeast-North-Center power system of China, prove that the proposed algorithm has better convergence speed and accuracy. It can realize the real-time simulation of huge interconnected power systems in the high-latency wide area networks, which makes it suitable for industrial applications.
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