Wide-Area Emergency Control of Active and Reactive Power of Converter-Interfaced Wind Power Generation for Transient Stability Improvement in Power Systems

2021 ◽  
Vol 141 (6) ◽  
pp. 454-463
Author(s):  
Jun Itai ◽  
Kenichi Kawabe ◽  
Toshiya Nanahara ◽  
Tsuyoshi Iriguchi ◽  
Seiji Yamada
2019 ◽  
Vol 30 (6) ◽  
pp. 1116-1125 ◽  
Author(s):  
Alexandre P. Sohn ◽  
Maurício B. de C. Salles ◽  
Luís F. C. Alberto

2020 ◽  
Vol 10 (8) ◽  
pp. 2859 ◽  
Author(s):  
Amir Hossein Shojaei ◽  
Ali Asghar Ghadimi ◽  
Mohammad Reza Miveh ◽  
Fazel Mohammadi ◽  
Francisco Jurado

This paper presents an improved multi-objective probabilistic Reactive Power Planning (RPP) in power systems considering uncertainties of load demand and wind power generation. The proposed method is capable of simultaneously (1) reducing the reactive power investment cost, (2) minimizing the total active power losses, (3) improving the voltage stability, and (4) enhancing the loadability factor. The generators’ voltage magnitude, the transformer’s tap settings, and the output reactive power of VAR sources are taken into account as the control variables. To solve the probabilistic multi-objective RPP problem, the ε-constraint method is used. To test the effectiveness of the proposed approach, the IEEE 30-bus test system is implemented in the GAMS environment under five different conditions. Finally, for a better comprehension of the obtained results, a brief comparison of outcomes is presented.


2019 ◽  
Vol 52 (3-4) ◽  
pp. 169-182 ◽  
Author(s):  
R Sitharthan ◽  
CK Sundarabalan ◽  
KR Devabalaji ◽  
T Yuvaraj ◽  
A Mohamed Imran

In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to develop a fuzzy logic–based pitch angle control and to develop a static transfer switch to make power balance between the wind power generation system and the loads. The power management control system is a progression of logic expressions, designed based on generating power and load power requirement. The outcome of this work targets at an improved power production, active and reactive power compensation and ensures system load constraints. To validate the proposed control strategy, a detailed simulation study is carried out on a 9-MW wind farm simulation simulated in MATLAB/Simulink environment.


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