DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment

A scheme of load frequency control (LFC) is proposed based on the deep deterministic policy gradient (DDPG) and active disturbance rejection control (ADRC) for multi-region interconnected power systems considering the renewable energy sources (RESs) and energy storage (ES). The dynamic models of mul...

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Main Authors: Zhenlan Dou, Chunyan Zhang, Xichao Zhou, Dan Gao, Xinghua Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
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Online Access:https://www.mdpi.com/1996-1073/18/14/3610
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author Zhenlan Dou
Chunyan Zhang
Xichao Zhou
Dan Gao
Xinghua Liu
author_facet Zhenlan Dou
Chunyan Zhang
Xichao Zhou
Dan Gao
Xinghua Liu
author_sort Zhenlan Dou
collection DOAJ
description A scheme of load frequency control (LFC) is proposed based on the deep deterministic policy gradient (DDPG) and active disturbance rejection control (ADRC) for multi-region interconnected power systems considering the renewable energy sources (RESs) and energy storage (ES). The dynamic models of multi-region interconnected power systems are analyzed, which provides a basis for the subsequent RES access. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are adopted due to their rapid response capabilities and fast charge–discharge characteristics. To stabilize the frequency fluctuation, a first-order ADRC is designed, utilizing the anti-perturbation estimation capability of the first-order ADRC to achieve effective control. In addition, the system states are estimated using a linear expansion state observer. Based on the output of the observer, the appropriate feedback control law is selected. The DDPG-ADRC parameter optimization model is constructed to adaptively adjust the control parameters of ADRC based on the target frequency deviation and power deviation. The actor and critic networks are continuously updated according to the actual system response to ensure stable system operation. Finally, the experiment demonstrated that the proposed method outperforms traditional methods across all performance indicators, particularly excelling in reducing adjustment time (45.8% decrease) and overshoot (60% reduction).
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spelling doaj-art-fd42a92764ce441289778b8fbd2dac7b2025-08-20T02:45:45ZengMDPI AGEnergies1996-10732025-07-011814361010.3390/en18143610DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage EquipmentZhenlan Dou0Chunyan Zhang1Xichao Zhou2Dan Gao3Xinghua Liu4State Grid Shanghai Municipal Electric Power Company, Shanghai 200120, ChinaState Grid Shanghai Municipal Electric Power Company, Shanghai 200120, ChinaState Grid Integrated Energy Services Group Co., Ltd., Beijing 100032, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, ChinaA scheme of load frequency control (LFC) is proposed based on the deep deterministic policy gradient (DDPG) and active disturbance rejection control (ADRC) for multi-region interconnected power systems considering the renewable energy sources (RESs) and energy storage (ES). The dynamic models of multi-region interconnected power systems are analyzed, which provides a basis for the subsequent RES access. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are adopted due to their rapid response capabilities and fast charge–discharge characteristics. To stabilize the frequency fluctuation, a first-order ADRC is designed, utilizing the anti-perturbation estimation capability of the first-order ADRC to achieve effective control. In addition, the system states are estimated using a linear expansion state observer. Based on the output of the observer, the appropriate feedback control law is selected. The DDPG-ADRC parameter optimization model is constructed to adaptively adjust the control parameters of ADRC based on the target frequency deviation and power deviation. The actor and critic networks are continuously updated according to the actual system response to ensure stable system operation. Finally, the experiment demonstrated that the proposed method outperforms traditional methods across all performance indicators, particularly excelling in reducing adjustment time (45.8% decrease) and overshoot (60% reduction).https://www.mdpi.com/1996-1073/18/14/3610multi-region interconnected power systemenergy storage equipmentload frequency controlfirst-order active disturbance rejection controllerdeep deterministic policy gradient algorithm
spellingShingle Zhenlan Dou
Chunyan Zhang
Xichao Zhou
Dan Gao
Xinghua Liu
DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
Energies
multi-region interconnected power system
energy storage equipment
load frequency control
first-order active disturbance rejection controller
deep deterministic policy gradient algorithm
title DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
title_full DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
title_fullStr DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
title_full_unstemmed DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
title_short DDPG-ADRC-Based Load Frequency Control for Multi-Region Power Systems with Renewable Energy Sources and Energy Storage Equipment
title_sort ddpg adrc based load frequency control for multi region power systems with renewable energy sources and energy storage equipment
topic multi-region interconnected power system
energy storage equipment
load frequency control
first-order active disturbance rejection controller
deep deterministic policy gradient algorithm
url https://www.mdpi.com/1996-1073/18/14/3610
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AT xichaozhou ddpgadrcbasedloadfrequencycontrolformultiregionpowersystemswithrenewableenergysourcesandenergystorageequipment
AT dangao ddpgadrcbasedloadfrequencycontrolformultiregionpowersystemswithrenewableenergysourcesandenergystorageequipment
AT xinghualiu ddpgadrcbasedloadfrequencycontrolformultiregionpowersystemswithrenewableenergysourcesandenergystorageequipment