D-STATCOM d-q Axis Current Reference Control Applying DDPG Algorithm in the Distribution System

Jong Ha Woo; Lei Wu; Sung Min Lee; Jong Bae Park; Jae Hyung Roh

doi:10.1109/ACCESS.2021.3119745

D-STATCOM d-q Axis Current Reference Control Applying DDPG Algorithm in the Distribution System

Jong Ha Woo, Lei Wu, Sung Min Lee, Jong Bae Park, Jae Hyung Roh

Department of Electrical and Computer Engineering

Konkuk University

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

The high penetration level of renewable energy in large-scale power systems could adversely affect power quality, such as voltage stability and harmonic pollution. This paper assesses the impacts of Distribution Static Compensator (D-STATCOM), one of the Flexible AC Transmission System (FACTS) devices, on power quality of 4.16kV-level distribution systems via transient and steady-state analysis. Carrier-based Pulse Width Modulation (PWM) control in D-STATCOM generates d-q axis current reference via the PID (Proportional-Integral-Differential) controller to control d-q axis current and voltage. A new control method, via the Deep Deterministic Policy Gradient (DDPG) algorithm-based reinforcement learning (RL), is studied to create a new d-q axis current reference applying to the voltage control, which can improve voltage stability and transient response and derive fast convergence of current and voltage at the D-STATCOM bus. The real-Time simulations on an IEEE 13-bus system show that the proposed approach can better control the D-STATCOM than the conventional control methods for enhancing voltage stability and transient performance.

Original language	English
Pages (from-to)	145840-145851
Number of pages	12
Journal	IEEE Access
Volume	9
DOIs	https://doi.org/10.1109/ACCESS.2021.3119745
State	Published - 2021

Keywords

D-STATCOM
FACTS device
reinforcement learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACCESS.2021.3119745

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title = "D-STATCOM d-q Axis Current Reference Control Applying DDPG Algorithm in the Distribution System",

abstract = "The high penetration level of renewable energy in large-scale power systems could adversely affect power quality, such as voltage stability and harmonic pollution. This paper assesses the impacts of Distribution Static Compensator (D-STATCOM), one of the Flexible AC Transmission System (FACTS) devices, on power quality of 4.16kV-level distribution systems via transient and steady-state analysis. Carrier-based Pulse Width Modulation (PWM) control in D-STATCOM generates d-q axis current reference via the PID (Proportional-Integral-Differential) controller to control d-q axis current and voltage. A new control method, via the Deep Deterministic Policy Gradient (DDPG) algorithm-based reinforcement learning (RL), is studied to create a new d-q axis current reference applying to the voltage control, which can improve voltage stability and transient response and derive fast convergence of current and voltage at the D-STATCOM bus. The real-Time simulations on an IEEE 13-bus system show that the proposed approach can better control the D-STATCOM than the conventional control methods for enhancing voltage stability and transient performance.",

keywords = "D-STATCOM, FACTS device, reinforcement learning",

author = "Woo, {Jong Ha} and Lei Wu and Lee, {Sung Min} and Park, {Jong Bae} and Roh, {Jae Hyung}",

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year = "2021",

doi = "10.1109/ACCESS.2021.3119745",

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AU - Woo, Jong Ha

AU - Wu, Lei

AU - Lee, Sung Min

AU - Park, Jong Bae

AU - Roh, Jae Hyung

PY - 2021

Y1 - 2021

N2 - The high penetration level of renewable energy in large-scale power systems could adversely affect power quality, such as voltage stability and harmonic pollution. This paper assesses the impacts of Distribution Static Compensator (D-STATCOM), one of the Flexible AC Transmission System (FACTS) devices, on power quality of 4.16kV-level distribution systems via transient and steady-state analysis. Carrier-based Pulse Width Modulation (PWM) control in D-STATCOM generates d-q axis current reference via the PID (Proportional-Integral-Differential) controller to control d-q axis current and voltage. A new control method, via the Deep Deterministic Policy Gradient (DDPG) algorithm-based reinforcement learning (RL), is studied to create a new d-q axis current reference applying to the voltage control, which can improve voltage stability and transient response and derive fast convergence of current and voltage at the D-STATCOM bus. The real-Time simulations on an IEEE 13-bus system show that the proposed approach can better control the D-STATCOM than the conventional control methods for enhancing voltage stability and transient performance.

AB - The high penetration level of renewable energy in large-scale power systems could adversely affect power quality, such as voltage stability and harmonic pollution. This paper assesses the impacts of Distribution Static Compensator (D-STATCOM), one of the Flexible AC Transmission System (FACTS) devices, on power quality of 4.16kV-level distribution systems via transient and steady-state analysis. Carrier-based Pulse Width Modulation (PWM) control in D-STATCOM generates d-q axis current reference via the PID (Proportional-Integral-Differential) controller to control d-q axis current and voltage. A new control method, via the Deep Deterministic Policy Gradient (DDPG) algorithm-based reinforcement learning (RL), is studied to create a new d-q axis current reference applying to the voltage control, which can improve voltage stability and transient response and derive fast convergence of current and voltage at the D-STATCOM bus. The real-Time simulations on an IEEE 13-bus system show that the proposed approach can better control the D-STATCOM than the conventional control methods for enhancing voltage stability and transient performance.

KW - D-STATCOM

KW - FACTS device

KW - reinforcement learning

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JF - IEEE Access

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D-STATCOM d-q Axis Current Reference Control Applying DDPG Algorithm in the Distribution System

Abstract

Keywords

UN SDGs

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