Unified Fast Decoupled Load Flow in a Parallel Distributed Computation Framework. Issue 1 (20th January 2020)

• Record Type: Journal Article
• Authors: Sreerama, Kumar R.
• Is Part Of: Electric power components and systems. Volume 48:Issue 1/2(2020)
• Page Start: 128
• Page End: 137
• Publication Date: 2020-01-20
• Subjects: distributed computing -- load flow -- parallel algorithm -- distributed system -- power system -- power system steady state analysis -- fast decoupled load flow -- power system computations, bus splitting -- network tearing; Electric machinery -- Periodicals; 621.3104205
• DOI: 10.1080/15325008.2020.1731875
• Languages: English
• ISSNs: 1532-5008

Abstract

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.