Unified Fast Decoupled Load Flow in a Parallel Distributed Computation Framework

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 respect...

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Bibliographic Details
Published in:Electric power components and systems Vol. 48; no. 1-2; pp. 128 - 137
Main Author: Sreerama, Kumar R.
Format: Journal Article
Language:English
Published: Philadelphia Taylor & Francis 20.01.2020
Taylor & Francis Ltd
Subjects:
Computation
Computer architecture
Control centres
Control systems
distributed computing
Distributed memory
distributed system
Electric power systems
fast decoupled load flow
load flow
Message passing
network tearing
parallel algorithm
power system
power system computations, bus splitting
power system steady state analysis
Stress concentration
Subsystems
ISSN:1532-5008, 1532-5016
Online Access:Get full text
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Summary: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.
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ISSN:1532-5008
1532-5016
DOI:10.1080/15325008.2020.1731875