Parallel power flow calculation in electric distribution networks

Fukuyama, Yoshikazu; Nakanishi, Yoshinobu; Chiang, Hsiao Dong

doi:10.1109/iscas.1996.540036

Cited by 16 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time required for the matrix calculations requires a high proportion of the total computation time; for instance, it was found to take up to about 80% of the total computation time in [21]. Hence, many related studies have already been performed [22][23][24][25][26], as we can significantly reduce the total execution time of PF analysis by applying parallel processing to the matrix calculations.…”

Section: Lu Decompositionmentioning

confidence: 99%

Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Yoon

Han

2020

Energies

View full text Add to dashboard Cite

A power flow study aims to analyze a power system by obtaining the voltage and phase angle of buses inside the power system. Power flow computation basically uses a numerical method to solve a nonlinear system, which takes a certain amount of time because it may take many iterations to find the final solution. In addition, as the size and complexity of power systems increase, further computational power is required for power system study. Therefore, there have been many attempts to conduct power flow computation with large amounts of data using parallel computing to reduce the computation time. Furthermore, with recent system developments, attempts have been made to increase the speed of parallel computing using graphics processing units (GPU). In this review paper, we summarize issues related to parallel processing in power flow studies and analyze research into the performance of fast power flow computations using parallel computing methods with GPU.

show abstract

Section: Lu Decompositionmentioning

confidence: 99%

Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Yoon

Han

2020

Energies

View full text Add to dashboard Cite

show abstract

“…The basic concepts related to the application of parallel processing to power flow computation are explained in [10,11]. Parallel contingency analysis in high performance computing environments is studied in [12], where an effective method for conducting contingency analysis using parallel processing is presented.…”

Section: Related Workmentioning

confidence: 99%

“…Various methods for applying parallel processing for power flow computation have been studied previously. The basic concepts of using parallel processing for power flow computations are presented in [10,11]. Following the publication of those papers, there have been some studies on parallel power flow computations in high speed computing environments [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Exploiting Coarse-Grained Parallelism Using Cloud Computing in Massive Power Flow Computation

et al. 2018

View full text Add to dashboard Cite

We present a novel architecture of parallel contingency analysis that accelerates massive power flow computation using cloud computing. It leverages cloud computing to investigate huge power systems of various and potential contingencies. Contingency analysis is undertaken to assess the impact of failure of power system components; thus, extensive contingency analysis is required to ensure that power systems operate safely and reliably. Since many calculations are required to analyze possible contingencies under various conditions, the computation time of contingency analysis increases tremendously if either the power system is large or cascading outage analysis is needed. We also introduce a task management optimization to minimize load imbalances between computing resources while reducing communication and synchronization overheads. Our experiment shows that the proposed architecture exhibits a performance improvement of up to 35.32× on 256 cores in the contingency analysis of a real power system, i.e., KEPCO2015 (the Korean power system), by using a cloud computing system. According to our analysis of the task execution behaviors, we confirmed that the performance can be enhanced further by employing additional computing resources.

show abstract

“…Because of the feature of these distribution system structures, conventional power-flow methods which are mainly developed for transmission system studies are not adequate. Therefore several power flow calculation methods for the radial distribution system are proposed up to now (3) (4) . In this study, the Backward Forward Sweep method is adopted for the load flow analysis (5) .…”

Section: A Features Of Radial Structured Distribution Systemsmentioning

confidence: 99%

Coordinated allocation and control of voltage regulators based on reactive tabu search

Sugimoto

Yokoyama

Fukuyama

et al. 2005

2005 IEEE Russia Power Tech

Self Cite

View full text Add to dashboard Cite

This paper present a coordinated allocation and control of Step voltage regulators (SVRs) and Static Var Compensators (SVCs) for voltage deviations in case distributed generations are installed in distribution networks. In the proposed method, the reactive tabu search (RTS) with multiple structures and functions has been applied to the coordination. Firstly, the locations of SVRs are selected optimally and secondly the tap positions of SVRs are optimized by the RTS. Finally, the locations of SVC are decided to brash up the voltage profile in the distribution network.The proposed method enables us to take account of the installation cost of both SVR and SVC as an economic criterion, the upper and lower limit of voltage at each node and also the upper limit of line currents as constraints. By applying the proposed method to a practical distribution test system, it is verified that this method is efficient to allocate SVRs and SVCs at the minimum cost and regulate the system voltages within an appropriate value after introducing distributed generations into the distribution system.

show abstract

Parallel power flow calculation in electric distribution networks

Cited by 16 publications

References 7 publications

Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Parallel Power Flow Computation Trends and Applications: A Review Focusing on GPU

Exploiting Coarse-Grained Parallelism Using Cloud Computing in Massive Power Flow Computation

Coordinated allocation and control of voltage regulators based on reactive tabu search

Contact Info

Product

Resources

About