Research on Reactive Power Optimization of Long Distance Ultra-high Voltage Cable Connected to Municipal Power Grid

2020 ◽  
Author(s):  
Lixiao Yao ◽  
Taorong Jia ◽  
Guoqing Yang ◽  
Zhe Huang ◽  
Zhe Hou ◽  
...  
Keyword(s):  
High Voltage ◽  
Reactive Power ◽  
Power Optimization ◽  
Power Grid ◽  
Reactive Power Optimization ◽  
Long Distance ◽  
Ultra High Voltage

scholarly journals Reactive Power Optimization of Power Grid based on TTGA Hybrid Algorithm

2020 ◽  
Vol 1659 ◽  
pp. 012036
Author(s):  
Lei Sun ◽  
Feng Jing ◽  
Fan Sun ◽  
Hongyan Guo ◽  
Dengyu Xiong ◽  
...  
Keyword(s):  
Hybrid Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Power Grid ◽  
Reactive Power Optimization ◽  
Grid Based

Application of Reactive Power Optimization in Power Grid in AVC

2014 ◽  
Vol 971-973 ◽  
pp. 979-982
Author(s):  
Yan Hong Li ◽  
Zhi Rong Zhang
Keyword(s):  
Optimization Model ◽  
Reactive Power ◽  
Power Optimization ◽  
Power Grid ◽  
Optimization Method ◽  
Reactive Power Optimization ◽  
Synchronous Generators ◽  
Hierarchical Partition ◽  
Operating Limits ◽  
External Conditions

Automatic voltage control(AVC) is the highest form of current power grid voltage and reactive power control,during the implementation of AVC, the whole network reactive power optimization isthe core and foundation. Thispaper researches and discuses the application of reactive power optimization inpower grid AVC. In the traditional reactive power optimization, the reactivepower limits of synchronous generators are fixed. In this paper, thesynchronous generator PQ operating limits change with external conditions,thus establishes reactive power optimization model in accordance with therequirements of AVC. Thispaper presents reactive power optimization method based on the principle ofpartition. The method decomposes the system to several partitions. Eachpartition separately optimized, thus reduces the system scale.And the convergence of the algorithm, the calculation speed and the discretevariable processing etc. improve. At the same time, this method reflects theclassification, hierarchical, partition, characteristics of coordinated controlof AVC.

scholarly journals Fast Atom Search Algorithm for Reactive Power Optimization of Power Grid with High-Penetration Wind and Solar Energies

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Fang Zeng ◽  
Hongchun Shu
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Search Algorithm ◽  
Power Grid ◽  
Wind Farms ◽  
Solar Irradiation ◽  
Total Power ◽  
Reactive Power Optimization ◽  
Search Optimization ◽  
High Penetration

This paper constructs a reliable reactive power optimization (RPO) model of power grid with the controlled participation of high-penetration wind and solar energies and provides a novel fast atom search optimization (FASO) algorithm to reach a set of solutions to the RPO problem. The developed FASO algorithm owns prominent merits of high searching efficiency and premature convergence avoidance compared with the original atom search optimization (ASO) algorithm, which is applied to determine the optimal dispatch scheme including terminal voltage of generators, the capacity of static VAR compensator (SVC), reactive power output of wind and solar energies, and the tap ratio of transformers. There are two objective functions to be minimized for maintaining the safe and reliable operation of power grid, i.e., total power loss of transmission lines and total voltage deviation of nodes. Meanwhile, the regulation capacities of wind farms and photovoltaic (PV) stations are evaluated based on different weather conditions, i.e., wind speed and solar irradiation. Particularly, the reactive power outputs of wind and solar energies can be globally controlled to coordinate with other controllable units instead of a local self-control. Eventually, the extended IEEE 9-bus and IEEE 39-bus systems are introduced to test the performance of the FASO algorithm for RPO problem. It has been verified that FASO can not only meet the optimal regulation requirements of RPO but also obtain high-quality regulation schemes with the fastest convergence speed and highest convergence stability in contrast with else algorithms.

scholarly journals The Application and Practice of the Voltage Reactive Power Optimization Automatic Control System (AVC)in the Power Grid of Wuhu Region

2016 ◽  
Vol 12 (02) ◽  
pp. 10
Author(s):  
Liang Sun ◽  
Xusheng Jian ◽  
Wenqiang Yuan
Keyword(s):  
Reactive Power ◽  
Power Optimization ◽  
Power Grid ◽  
Active Power Filter ◽  
Optimization Method ◽  
Active Power ◽  
Reactive Power Optimization ◽  
Control Plan ◽  
Power Filter ◽  
The Impact

In the paper, the influence of harmonic was taken into consideration during the realization of the AVC system in the power grid of Wuhu region, relevant study and development were conducted from the perspective of application and practice, and concrete proposal of practicable reactive voltage power optimization was put forward. The system adopted two-layer control plan: whole-network coordination layer and execution layer within transformer substation. Optimization algorithm adopted the reactive power optimization method with relaxed constraints so as to improve the convergence and computation speed of reactive power optimization. To control the impact of harmonic, a hybrid active power filter scheme which was made up of passive power filter and active power filter was adopted, thus improving the cost performance of the AVC system. The result of applying the AVC system in the power grid of Wuhu region shows that the system is stable and reliable, obviously decreasing the operation times of equipment and improving the voltage qualified rate and power factor of panel point.

Improvement and Application of Genetic Algorithms in Reactive Power Optimization of Power Network

2011 ◽  
Vol 354-355 ◽  
pp. 1058-1063
Author(s):  
Lin Lei ◽  
Yi Nan Ge ◽  
Qin Yuan
Keyword(s):  
Genetic Algorithms ◽  
High Voltage ◽  
Reactive Power ◽  
Power Optimization ◽  
Convergence Speed ◽  
Power Network ◽  
Reactive Power Optimization ◽  
Simple Genetic Algorithms ◽  
High Voltage System ◽  
Bus System

Reactive power optimization that is optimized by Simple Genetic Algorithms has many limitations. According to the problem of reactive power optimization of high voltage system, the Simple Genetic Algorithms is improved. The improved algorithm is applied in reactive power optimization of IEEE-6 bus system, the results indicate that the improvement is effective and it can accelerate the convergence speed and enhance the ability of optimization.

A Method for Online Reactive Power Optimization Problem in Regional Power Grid

2013 ◽  
Vol 347-350 ◽  
pp. 1515-1519
Author(s):  
Yong Hong Tang ◽  
Lin Xu ◽  
Hong Fan ◽  
Yu De Yang
Keyword(s):  
Interior Point Method ◽  
Reactive Power ◽  
Power Optimization ◽  
Power Grid ◽  
Continuous Variables ◽  
Reactive Power Optimization ◽  
Regional Power ◽  
Primal Dual ◽  
Accelerate Convergence ◽  
Significant Measure

The automatic voltage control system in regional power grid is a significant measure to improve the system voltage and the power quality. It relies on online reactive power optimization. This paper proposes a novel algorithm aimed to build an online reactive power optimization model, which uses a hybrid algorithm combined the primal-dual interior point method and branch and bound method. Dealing with the discrete variables and continuous variables separately, the solution speed and accelerate convergence problem is improved rapidly. Finally, the efficiency of the proposed method is verified by numerical simulation in a regional power grid system.

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