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.

Impact of Wind Farm Output Fluctuation on Static Stability of Grid

2014 ◽  
Vol 672-674 ◽  
pp. 351-354
Author(s):  
Guang Yang ◽  
Bin Chen ◽  
Hui Lan Jiang ◽  
Shuang Qi Zheng
Keyword(s):  
Wind Speed ◽  
Probability Distribution ◽  
Power Flow ◽  
Wind Farm ◽  
Power Grid ◽  
Wind Farms ◽  
Static Stability ◽  
Stability Margins ◽  
Continuous Power ◽  
Turbine Output

With the expanding of the scale of wind farm, wind farm’s impact on power grid becomes more serious, which would cause a lot of problems. This paper mainly focuses on the static stability for the power grid containing wind farms. The static stability margins at different wind farm outputs are obtained using continuous power flow method. Their probability distribution is also obtained with wind speed’s Weibull distribution and the relation between wind speed and wind turbine output. Taking IEEE14 model with wind turbines connected as an example to analyze, the results have stated that wind farm output fluctuation has certain impact on the static stability of grid.

Research on Coordinated Control of Reactive Power and Voltage in Large Scale Wind Farm Groups

2013 ◽  
Vol 433-435 ◽  
pp. 1330-1335 ◽  
Author(s):  
Zhen Yu Xu ◽  
Bin Meng ◽  
Jian He ◽  
Shao Hua Jiao
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Wind Farm ◽  
Reactive Power ◽  
Wind Farms ◽  
Voltage Sensitivity ◽  
Voltage Level ◽  
Grid Voltage ◽  
Power Resources ◽  
Reactive Power Flow

Under the influence of the view that reactive power compensation on-spot, the study on control of reactive power and voltage in wind farms focused on a single wind farm optimal reactive voltage control. China's wind power resources are relatively concentrated and a region often have several or even a dozen wind farms. Wind farm thought as a unit to adjust often leads to irrational reactive power flow. Wind farm groups and collection substations must be thought together as a whole to manage. This paper makes use of collection substations to support area voltage, coordinates reactive power output of the wind farm groups based on the voltage sensitivity and improves the overall grid voltage level of the wind farm groups areas. Simulation results proved that the program can improve the regional power grid voltage level.

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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