Cooperative control strategy for distributed wind-storage combined system based on consensus protocol

Chen, Siyuan; Liú, Dan; Yang, Qiufan; Zhou, Jianyu; Chen, Xia

doi:10.1016/j.ijepes.2020.106681

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…Where, the mean square of the residual error is denoted by R 2 RF, and the predicted value's variance is σ 2 y. Each feature in the input can be valued according to the random forest [22].…”

Section: [ ( ) ( )] [ ( )][ ( )]mentioning

confidence: 99%

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Abdalla

Tao

Nazir

et al. 2023

J. Phys.: Conf. Ser.

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Measurement and model uncertainties in power grids lead to the unpredictability of its power output, which brings great challenges to the safe and sustainable system operation. Furthermore, optimal placement strategies of measurement devices and new energy sources have a great impact to maintain the system operation. This study introduces and constructed an active distribution network (ADN) including an energy storage system (ESS) and is optimized by using a hybrid Ant Colony Optimization-Random Forest Regression (HACORFR). Briefly introduces the operation and combined system modelled of the ESS-RDS (ERDS). Then the HACORFR algorithm optimizes the operation status of the RDS and detects the abnormality distribution network. After applying the proposed approach, if the operation indicators of the distribution network, don’t return to normal operation, the network topology will further reconstruct and optimize the ERDS. The IEEE-28 bus power distribution testing system was used to validate the proposed method. Finally, the results show that the proposed optimization method reduces the loss of the distribution network by 2.34%, and the voltage profile improved by 2.94%. The present method makes full use of the flexible load and realizes the interaction between supply and demand. It also greatly improves the reliability of the distribution network operation and economy.

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Section: [ ( ) ( )] [ ( )][ ( )]mentioning

confidence: 99%

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Abdalla

Tao

Nazir

et al. 2023

J. Phys.: Conf. Ser.

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“…The aerodynamic model only needs to focus on aerodynamic power P a . Considering the fast response of converters and generators, the electrical model can be simplified as a first-order lag link [21][22] of generator torque reference value.…”

Section: Wind Turbine Generator System Modelmentioning

confidence: 99%

Active Power Consensus Control for Wind Turbines with Time Delays

Feng

Wei

et al. 2022

Chin. J. Electr. Eng.

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The distributed active power control problem is explored by equating wind turbines to multi-agent systems in this paper.Both time delays and unknown topological relations are considered in the proposed model. Using the graph discovery algorithm, the algebraic connectivity of the graph is found in advance. Further, a proportional control protocol is proposed based on the adjustable margin of different wind turbines. Moreover, the proposed distributed controller not only handles the problem of supply-demand balance between the wind farm and power grid but also regulates the output power of individual wind turbines based on their capacities. Finally, simulations are performed on the wind turbines to illustrate the validity of the proposed method.

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“…The application of individual signal controllers or energy controllers is not generally sufficient to achieve satisfactory control performance. Recently, the concept of using cooperative control to combine controllers and improve their performance has become quite attractive [28,29]. To this end, a large number of scientists are devoted to the related works of cooperative control methods.…”

Section: Introductionmentioning

confidence: 99%

Cooperative control of deadbeat predictive and state error port‐controlled Hamiltonian method for permanent magnet synchronous motor drives

Zhao

2021

IET Electric Power Appl

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In this article, a cooperative control combining deadbeat predictive control (DBPC) and state error port-controlled Hamiltonian (EPCH) method is presented for permanent magnet synchronous motor drives. This effective combination is achieved by a cooperation scheme based on the error function. First, the DBPC is introduced to provide a fast dynamic response, and the state EPCH method based on the loss model is constructed to get good steady-state performance and high efficiency. After that, to combine the advantages of both controllers, the improved sigmoid function based on real-time position error is designed as a cooperative scheme. Each control method can be utilised effectively within the corresponding range. Meanwhile, the switching process is continuous and smooth without unnecessary chattering. Thus, the proposed method not only solves the contradiction between dynamic and steady performance but also optimises energy consumption. Finally, the proposed method is verified experimentally. The results show that the motor control system based on the proposed method has fast dynamic transient response and good steady-state performance with high efficiency.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cooperative control strategy for distributed wind-storage combined system based on consensus protocol

Cited by 8 publications

References 27 publications

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Hybrid Ant Colony Optimisation-Random Forest Regression-Based Optimised Framework of An Intelligent Active Distribution Network

Active Power Consensus Control for Wind Turbines with Time Delays

Cooperative control of deadbeat predictive and state error port‐controlled Hamiltonian method for permanent magnet synchronous motor drives

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