A Fine-Grained Parallel Power Flow Method for Large Scale Grid Based on Lightweight GPU Threads

2016 ◽  
Author(s):  
Han Jiang ◽  
Deyang Chen ◽  
Yalou Li ◽  
Ran Zheng
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Flow Method ◽  
Fine Grained ◽  
Large Scale Grid ◽  
Scale Grid ◽  
Grid Based ◽  
Power Flow Method

Algorithm of Continuous Power Flow Considering Auto-Disconnection of Large-Scale Wind Farms

2012 ◽  
Vol 433-440 ◽  
pp. 1085-1091
Author(s):  
Ming Hai Yang ◽  
Chun Xiao Liu ◽  
Cheng Shan Wang ◽  
Wei Wei
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Wind Farm ◽  
Size Control ◽  
Wind Farms ◽  
Step Size ◽  
Flow Method ◽  
Control Segment ◽  
Continuous Power ◽  
Power Flow Method

Voltage stability of power grid would be affected greatly by the connection of large-scale wind farms. Conventional continuous power flow method can not accurately simulate the system’s operation when wind farms are connected to power gird. A new continuous power flow method is proposed, considering auto-disconnection of large-scale wind farms. The step-size control segment is improved in this algorithm in order to simulate the operation characteristics of wind farm and determine the precise time when a certain wind farm is cut off.

scholarly journals A modified backward/forward sweep-based method for reconfiguration of unbalanced distribution networks

2019 ◽  
Vol 9 (1) ◽  
pp. 85 ◽  
Author(s):  
Michel Duran-Quintero ◽  
John E. Candelo ◽  
Jose Soto-Ortiz
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Large Scale ◽  
Distribution Networks ◽  
Network Reconfiguration ◽  
Computational Tool ◽  
Topology Change ◽  
Flow Method ◽  
Three Phase ◽  
Power Flow Method

<span lang="EN-US">A three-phase unbalanced power flow method can provide a more realistic scenario of how distribution networks operate. The backward/forward sweep-based power flow method </span><span lang="EN-AU">(BF-PF)</span><span lang="EN-US"> has been used for many years as an important computational tool to solve the power flow for unbalanced and radial power systems. However, some of the </span><span lang="EN-AU">few </span><span lang="EN-US">available research tools produce many errors when </span><span lang="EN-AU">they </span><span lang="EN-US">are used for </span><span lang="EN-AU">network </span><span lang="EN-US">reconfiguration </span><span lang="EN-AU">because the </span><span lang="EN-US">topology change</span><span lang="EN-AU">s</span><span lang="EN-AU">after multiple switch actions</span><span lang="EN-US"> and the nodes are disorganized continually. </span><span lang="EN-AU">T</span><span lang="EN-US">his paper presents </span><span lang="EN-AU">a modified</span><span lang="EN-AU">BF-PF for </span><span lang="EN-US">three-phase unbalanced radial </span><span lang="EN-AU">distribution networks</span><span lang="EN-US"> that is capable </span><span lang="EN-AU">of arranging</span><span lang="EN-US"> the system topology when reconfiguration changes the branch connections. A binary search is used to determine the connections between nodes, allowing the algorithm to avoid those problems when reconfiguration is carried out, regardless of node numbers. Tests are made to verify the usefulness of the proposed algorithm in both the IEEE 13-node test feeder and the 123-node test feeder, converging in every run where constraints are accomplished. This approach can be used easily for a large-scale feeder network reconfiguration.</span><span lang="EN-AU"> The full version of this modified </span><span lang="EN-US">backward/forward sweep</span><span lang="EN-AU"> algorithm is available for research at MathWorks</span><span lang="EN-US">.</span>

GPU-Based Power Flow Method a Multi-Objective Power Optimization Model for Reconfiguration Problem in Radial Distribution Networks

2018 ◽  
Vol 7 (4) ◽  
pp. 56-67
Author(s):  
Hiba Yahyaoui ◽  
Abdelkader Dekdouk ◽  
Saoussen Krichen
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Distribution Networks ◽  
Iterated Local Search ◽  
Electrical Networks ◽  
Flow Method ◽  
Radial Distribution Networks ◽  
Gpu Architecture ◽  
Gpu Implementation ◽  
Power Flow Method

This article addresses the distribution network reconfiguration problem (DNRP) and the power flow method. The studied DNRP operates on standard configurations of electrical networks. The main objectives handled are the minimization of power loss, the number of switching operations and the deviations of bus voltages from their rated values. Metaheuristic approaches based on Greedy Iterated Local Search where proposed to solve the DNRP. A benchmarking testbed on standard systems well illustrates the incentive behind using GrILS for solving the DNRP. In addition, the proposed approaches and the power flow method where implemented on GPU architecture. The GPU implementation shows its effectiveness against the CPU in terms of time consuming specially for large-scale bus systems.

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