Abstract This research proposes a parallel and distributed computation approach for the fast decoupled load flow (FDLF) analysis applicable to both transmission and distribution networks of large electrical power systems. In this approach, the overall repetitive FDLF computations are performed by the respective control centers identified for each sub-system, the sub-systems being formed by partitioning the system through a network tearing procedure splitting the identified buses. The data of each subsystem are stored at their own control centers and hence the subsystems are solved using message passing distributed memory architecture. The computations performed by the control centers in various sub-systems are coordinated from a regional control center. The investigations on IEEE 118 bus standard test system indicate that the proposed approach provides faster solution than the conventional approach, without affecting the solution accuracy. The effectiveness of the proposed technique over the conventional approach become more visible when it is applied for the load flow analysis of large scale systems spread over a wide geographical area.

中文翻译：

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并行分布式计算框架中的统一快速解耦潮流

摘要 本研究提出了一种并行分布式计算方法，用于快速解耦潮流 (FDLF) 分析，适用于大型电力系统的输配电网络。在这种方法中，整体重复的 FDLF 计算由为每个子系统标识的各个控制中心执行，子系统是通过通过网络撕裂程序分割已标识的总线来划分系统而形成的。每个子系统的数据存储在它们自己的控制中心，因此子系统使用消息传递分布式内存架构来解决。各个子系统中的控制中心执行的计算由区域控制中心协调。对 IEEE 118 总线标准测试系统的调查表明，所提出的方法比传统方法提供更快的解决方案，而不会影响解决方案的准确性。当将所提出的技术应用于分布在广泛地理区域的大型系统的潮流分析时，所提出的技术相对于传统方法的有效性变得更加明显。