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Unified Fast Decoupled Load Flow in a Parallel Distributed Computation Framework

机译：并行分布式计算框架中的统一快速分离负载流

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摘要

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.
机译：该研究提出了一种用于快速分离的负载流（FDLF）分析的平行和分布的计算方法，适用于大型电力系统的传输和分配网络。在这种方法中，通过为每个子系统识别的各个控制中心执行总体重复的FDLF计算，通过将系统通过拆分所识别的总线来划分系统来执行的子系统。每个子系统的数据存储在自己的控制中心，因此使用传递分布式内存架构来解决子系统。由各种子系统中的控制中心执行的计算与区域控制中心协调。 IEEE 118总线标准测试系统的调查表明所提出的方法提供比传统方法更快的解决方案，而不会影响溶液精度。当常规方法上的提出技术的有效性变得更加可见，当施加大规模系统的载荷流量分布在宽地理区域上时变得更加明显。

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