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Reinforcement Learning for Reactive Power Control

IEEE Transactions on Power Systems, 2004
This paper presents a Reinforcement Learning (RL) method for network constrained setting of control variables. The RL method formulates the constrained load flow problem as a multistage decision problem. More specifically, the model-free learning algorithm (Q-learning) learns by experience how to adjust a closed-loop control rule mapping states (load ...
J.G. Vlachogiannis, N.D. Hatziargyriou
openaire   +1 more source

A communication-free reactive-power control strategy in VSC-HVDC multi-terminal systems to improve transient stability

Electric power systems research, 2019
This paper proposes a new reactive-power control strategy for High Voltage Direct Current multi-terminal systems with Voltage Source Converter stations (VSC-HVDC) to improve transient stability in electric power transmission systems.
J. Renedo   +3 more
semanticscholar   +1 more source

A Simple Active and Reactive Power Control for Applications of Single-Phase Electric Springs

IEEE transactions on industrial electronics (1982. Print), 2018
Aiming at effective power management in microgrids with high penetration of renewable energy sources (RESs), this paper proposes a simple power control for the so-called second-generation, single-phase electric springs (ES-2), which overcomes the ...
Qingsong Wang   +4 more
semanticscholar   +1 more source

A Self-Adjusting Droop Control Strategy to Improve Reactive Power Sharing in Islanded Microgrid

IEEE Transactions on Sustainable Energy, 2020
In this paper, a self-adjusting nominal voltage based modification in the $Q-V$ droop control has been proposed to improve the reactive power sharing amongst distributed generation sources in an islanded microgrid.
D. Dheer, Yusuf Gupta, S. Doolla
semanticscholar   +1 more source

Reactive power control by genetic algorithm

2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077), 2002
This paper presents a new approach to optimal voltage and reactive power control based on a genetic algorithm (GA), and attempts to shorten the time by use of the GA which calculates the control procedure. For this purpose, a network is decomposed into subsystems by means of region/area information, and the control times of the controller are ...
H. Aoki, Y. Mizutani
openaire   +1 more source

Optimal Phase-Shift Control to Minimize Reactive Power for a Dual Active Bridge DC–DC Converter

IEEE transactions on power electronics, 2019
In a dual active bridge (DAB) dc–dc converter, modulating the phase-shift ratios can suppress reactive power and increase the efficiency under non-unity voltage gain conditions. Derivation of the optimal phase-shift ratios to achieve the minimum reactive
Shuai Shao   +5 more
semanticscholar   +1 more source

Microprocessing control of reactive power compensator

Euromicro Newsletter, 1979
Abstract This paper presents a method of reactive power compensation, using a microprocessor controlled thyrister switching of capacitor banks. The microprocessor provides the necessary timing of the switching process to avoid harmful supply transients and permits levels of compensation in each cycle.
El-Hosseiny Tahe El-Shirbeeny   +1 more
openaire   +1 more source

Artificial Intelligence-Aided Minimum Reactive Power Control for the DAB Converter Based on Harmonic Analysis Method

IEEE transactions on power electronics, 2021
Yuanhong Tang   +6 more
semanticscholar   +1 more source

Static voltage stability improvement with battery energy storage considering optimal control of active and reactive power injection

Electric power systems research, 2019
Voltage stability analysis and improvement remain a major concern of power system operators due to the recurrent risk of voltage collapse. Many approaches have been used to analyze voltage stability but an approach that can directly indicate the ...
O. Adewuyi   +4 more
semanticscholar   +1 more source

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