Research on SCESS-DFIG DC Bus Voltage Fluctuation Suppression Strategy for Frequency Inertia Regulation of Power Grid

Sun, Dongyang; Long, Haotian; Zhou, Kai; Lv, Yongfeng; Zheng, Jiqiang; Chen, Qingguo

doi:10.1109/access.2020.3025292

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…i) In order to achieve the specified control objectives in the non-ideal grid condition, the fundamental, negative and harmonic components of the grid tension must be extracted. The extraction process would use numerous notch and low pass filters; therefore, phase delay and control error would be unavoidable [15]. ii) In order to implement the different control targets by employing voltage oriented control (VOC) or direct power control (DPC) strategy, the control reference calculation of rotor current in VOC or active/reactive power in DPC is always complicated and time-consuming.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Controller for DFIG Based Wind Conversion System

Srinivasan¹,

Jagatheeswari²

2023

Intelligent Automation &Amp; Soft Computing

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Renewable energy production plays a major role in satisfying electricity demand. Wind power conversion is one of the most popular renewable energy sources compared to other sources. Wind energy conversion has two major types of generators such as the Permanent Magnet Synchronous Generator (PMSG) and the Doubly Fed Induction Generator (DFIG). The maximum power tracking algorithm is a crucial controller, a wind energy conversion system for generating maximum power in different wind speed conditions. In this article, the DFIG wind energy conversion system was developed in Matrix Laboratory (MATLAB) and designed a machine learning (ML) algorithm for the rotor and grid side converter. The ML algorithm has been developed and trained in a MATLAB environment. There are two types of learning algorithms such as supervised and unsupervised learning. In this research supervised learning is used to power the neural networks and analysis is made for various hidden layers and activation functions. Simulation results are assessed to demonstrate the efficiency of the proposed system.

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Section: Introductionmentioning

confidence: 99%

Machine Learning Controller for DFIG Based Wind Conversion System

Srinivasan¹,

Jagatheeswari²

2023

Intelligent Automation &Amp; Soft Computing

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“…Simultaneously, existing research has suggested using wind turbine energy storage devices as power absorption elements to fulfill the system's frequency regulation needs [15]. The distributed energy storage architecture is provided by [16]. The DC-DC converter connects the energy storage device to the wind turbine DC bus.…”

Section: Introductionmentioning

confidence: 99%

Multi-Energy Cooperative Primary Frequency Regulation Analysis of a Hybrid Plant Station for Wind Power and Hydrogen Production Based on Ensemble Empirical-Mode Decomposition Algorithm

Sun,

Yu,

Zheng

et al. 2023

Applied Sciences

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Wind curtailment and inadequate grid-connected frequency regulation capability are the main obstacles preventing wind power from becoming more permeable. The electric hydrogen production system can tackle the wind curtailment issue by converting electrical energy into hydrogen energy under normal operating circumstances. It can be applied as a load-reducing method during frequency regulation to help the system restore the power balance. First, this study proposes the concept of a hybrid plant station that combines the production of hydrogen and wind energy. This plant station will be referred to as a hybrid station with centralized hydrogen production and distributed energy storage. By mimicking the synchronous generator’s frequency control features, the primary frequency regulation mechanism of a hybrid plant station is examined. Secondly, due to the frequency regulation requirements of the power grid’s full-time domain hybrid power station, this paper proposes a hybrid plant station control strategy based on the EEMD variable parameter control algorithm. In frequency regulation power, the electric hydrogen production device load reduction responds to the low-frequency component, and the supercapacitor responds to the high-frequency component. The impact of the dynamic characteristics of alkaline electrolyzers on the frequency regulation effect is analyzed in this article, along with a comparison of the matching of various energy storage devices and electrolyzers in power grid frequency regulation. Finally, the feasibility and soundness of the proposed control strategy are confirmed by creating a simulation model representing a hybrid plant station involved in primary frequency management under various operational scenarios.

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“…However, the synthetic inertia capability of WTs strongly depends on wind speed, and it cannot be guaranteed under all wind conditions (Gloe et al, 2019). Though, there is the possibility of integrating wind generation units with EES, such as batteries (Ma et al, 2017;Watson et al, 2018;Dhundhara and Verma, 2020), supercapacitors (Sun et al, 2020) or FESS (Akbari and Izadian, 2021) for improving turbine's synthetic inertia performance, these are related to additional infrastructure cost. Still, relatively frequent shutdowns caused by low wind represent an unsurpassed drawback.…”

Section: Introductionmentioning

confidence: 99%

The permanently rotating wind turbines: a new strategy for reliable power system frequency support under low and no wind conditions

Džodić

Đurišić

2023

Front. Energy Res.

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The problem of frequency stability becomes more concerning as the presence of converter-interfaced units increases and conventional generators are suppressed. A decrease in total system inertia, inherently delivered by synchronous generators, results in abrupt frequency changes and jeopardizes power system stability. Therefore, securing sufficient flexible resources with frequency support capability is necessary. The rotational masses of wind turbines (WTs) are a significant and economical source of flexibility in power systems. However, the available kinetic energy (KE) of the WTs’ rotational masses depends on wind conditions and can only be exploited when the wind speed is sufficient for their rotation. When the wind speed is low, the WT is stopped and cannot support the frequency recovery. In this paper, a new concept of WT operation is proposed, which enables the permanent rotation of the WT under low and no wind conditions, making them reliable flexible resources that can continuously provide frequency support. Due to its widespread presence, the doubly-fed induction generator (DFIG) type of machine was considered. The variable-speed WT’s converter management allows rotational speed control, fast power injection, and release of the turbine’s stored KE even when no wind energy is available. The estimated accessible KE in the WT justifies the proposed concept, and the energy consumption due to motoring operation under low and no wind conditions is shown to be acceptable. A case study is performed for the South Banat region in Serbia to demonstrate the presented management concept. Additionally, a dynamic simulation was implemented to illustrate the permanent operation strategy’s impact on frequency stability in a low-inertia system under low and no wind conditions. Besides virtual inertia continuous capability, the proposed concept provides reduced wear of the WT mechanical components due to a lower number of on/off events.

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Research on SCESS-DFIG DC Bus Voltage Fluctuation Suppression Strategy for Frequency Inertia Regulation of Power Grid

Cited by 8 publications

References 15 publications

Machine Learning Controller for DFIG Based Wind Conversion System

Machine Learning Controller for DFIG Based Wind Conversion System

Multi-Energy Cooperative Primary Frequency Regulation Analysis of a Hybrid Plant Station for Wind Power and Hydrogen Production Based on Ensemble Empirical-Mode Decomposition Algorithm

The permanently rotating wind turbines: a new strategy for reliable power system frequency support under low and no wind conditions

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