Dynamic optimization of reactive power and voltage control in distribution network considering the connection of DFIG

Author(s):  
Zhihan Jiang ◽  
Jinfu Chen ◽  
Naihu Li ◽  
Meiqi Yao ◽  
Huijie Li
2018 ◽  
Vol 7 (2.28) ◽  
pp. 362
Author(s):  
Raed A. Shalwala

One of the most important operational requirements for any electrical power network for both distribution and transmission level is voltage control. Many studies have been carried out to improve or develop new voltage control techniques to facilitate safe connection of distributed generation. In Saudi Arabia, due to environmental, economic and development perspectives, a wide integration of photovoltaic (PV) genera-tion in distribution network is expected in the near future. This development in the network may cause voltage regulation problems due to the interaction with the existing conventional control system. In a previous paper, a control system has been described using a fuzzy logic control to set the on-line tap changer for the primary substation. In this paper a new control system is proposed for controlling the power factor of individual PV invertors based on observed correlation between net active and reactive power at each connection. A fuzzy logic control has been designed to alter the power factor for the remote invertors from the secondary substation to keep the feeder voltage within the permissible limits. In order to confirm the validity of the proposed method, simulations are carried out for a realistic distribution network with real data for load and solar radiation. Results showing the performance of the new control method are presented and discussed.  


2019 ◽  
Vol 217 ◽  
pp. 01002
Author(s):  
Aleksandr Domyshev ◽  
Alexey Osak ◽  
Kirill Zamula

The subsystem for optimal control of voltage and reactive power of EPS is developed. The proposed solution uses state of art methods for state estimation, forecasting and dynamic optimization. A new architecture of an artificial neural network is proposed – a neuro-analytical network. Algorithms are proposed that allow reliable combination of classical automatic control methods and methods using machine learning. The proposed methodology is designed for use in a real power system for automatic voltage control.


2021 ◽  
Vol 252 ◽  
pp. 01033
Author(s):  
Junchao Ma ◽  
Xiaoming Huang ◽  
Boliang Lou ◽  
Xiulin Xiao ◽  
Yinlong Fan ◽  
...  

With the increase of grid-connected PV capacity, voltage regulation at point of common coupling by controlling the reactive power injected into the grid is available. This paper presents an adaptive voltage control strategy for distribution network with high proportion PV system. The PI gain of the voltage controller is automatically adjusted by the extremum seeking algorithm to dynamically respond to the changes of the network. The PI gains are updated online through the minimization of a cost function, which represents the voltage controller performance. Finally, a distribution network model of 5 MW photovoltaic power generation system is built in MATLAB / Simulink to verify the effectiveness of the proposed control strategy.


Author(s):  
O. Oladepo ◽  
H Lasisi ◽  
T.T. Awofolaju

The rapid expansion in electrical power demand and challenges in providing required capacity using conventional solutions, such as network expansions and substation upgrades, motivates the selection of distributed generation (DG) option. The DG are complementarily combined based on their renewable sources, to form a microgrid for real and reactive power support. However, there is a need for proper coordination to smoothly coexist with conventional devices on the power network. The significant benefits of the integration include improved voltage profile and power loss reduction. In this article, the DN and active distribution network (ADN) are briefly introduced. Then the voltage control techniques in both passive and ADNs were reviewed. The existing literature is outlined as a potential guide for researchers in the field. The literature reveals that the coordinated voltage control involving the combination of voltage control devices and methods proved effective than standalone methods.


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