Coordinated Control Strategy of Wind Turbine Generator and Energy Storage Equipment for Frequency Support

Liu, Miao; Wen, Jinyu; Xie, Hailian; Yue, Chengyan; Lee, Wei-Jen

doi:10.1109/tia.2015.2394435

Cited by 223 publications

(89 citation statements)

References 26 publications

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“…In recent years, however, an increasing number of devices other than synchronous machines are expected to provide frequency regulation. These include, among others, distributed energy resources such as wind and solar generation [1]- [5]; flexible loads providing load demand response [6], [7]; HVDC transmission systems [8]- [10]; and energy storage devices [11]- [13]. However, these devices do not generally impose the frequency at their connection point with the grid.…”

Section: A Motivationsmentioning

confidence: 99%

Frequency Divider

Milano

Ortega

2016

IEEE Trans. Power Syst.

124

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The paper proposes an approximated yet reliable formula to estimate the frequency at the buses of a transmission system. Such a formula is based on the solution of a steadystate boundary value problem where boundary conditions are given by synchronous machine rotor speeds and is intended for applications in transient stability analysis. The hypotheses and assumptions to define bus frequencies are duly discussed. The rationale behind the proposed frequency divider is first illustrated through a simple 3-bus system. Then the general formulation is duly presented and tested on two real-world networks, namely a 1,479-bus model of the all-island Irish system and a 21,177-bus model of the European transmission system.Index Terms-Frequency estimation, quasi-static phasor model, dq-frame model, transient stability analysis, center of inertia.

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Section: A Motivationsmentioning

confidence: 99%

Frequency Divider

Milano

Ortega

2016

IEEE Trans. Power Syst.

124

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“…Thus, it is difficult to contribute to the inertia of the wind turbines [2,3]. To improve the inertia of wind turbine generators, several control methods have been reported, including the droop control, rotational speed control, pitch angle control, coordinate control, and so on [4][5][6][7]. For example, an active power control method of the wind turbine generator is required to adjust the active power at output [8].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the difference in the rotor's kinetic energy between wind turbines can lead to different performance with frequency modulation during a load disturbance. Thus, a coordinating virtual inertia control strategy of each unique generator is needed [7]. The existing control strategies can achieve the maximum power point tracking for the wind turbine generators, but suffer from low efficiency and complicated control systems.…”

Section: Introductionmentioning

confidence: 99%

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

et al. 2018

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This paper presents a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage, with a focus on its virtual inertia adaptive control. Conventionally, a synchronous generator has a large inertia from its rotating rotor, and thus its kinetic energy can be used to damp out fluctuations from the grid. However, DFIGs do not provide such a mechanism as their rotor is disconnected with the power grid, owing to the use of back-to-back power converters between the two. In this paper, a hydrogen energy storage system is utilized to provide a virtual inertia so as to dampen the disturbances and support the grid's stability. An analytical model is developed based on experimental data and test results show that: (1) the proposed method is effective in supporting the grid frequency; (2) the maximum power point tracking is achieved by implementing this proposed system; and, (3) the DFIG efficiency is improved. The developed system is technically viable and can be applied to medium and large wind power systems. The hydrogen energy storage is a clean and environmental-friendly technology, and can increase the renewable energy penetration in the power network.

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“…To prevent this problem, an accurate prediction system of wind resources has been developed which can reduce calculation errors between predicted power and real power output [2,3]. Furthermore, following major developments in power electronic technology, costs have decreased, as mentioned in Reference [4]. As a result, a variety of compensation devices have been used to handle real power balance, which is mainly controlled by transmission and system operators (TSO) [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Study of Order Modification for Reactive Power Support by Wind Farm during Communication Failure

et al. 2018

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Abstract:Various control methods and applications have been introduced to power systems in order to alleviate the uncertainties of relying on renewable sources. This paper, focusing on a reactive power allocation process, discusses the development of a self-modification algorithm and its introduction to an online reference management system. The algorithm is designed to predict unexpected situations occurring in real-time operations, when, due to technical issues, the control system becomes unavailable. A test system has been formed to check the feasibility of the composed method. As the main purpose of the feasibility study is checking availability with a complex solution, case studies are designed to adapt a reactive power allocation method based on loss minimization. When unexpected systemic errors were induced, the proposed modification plan changed order automatically with maintaining previous objective function. The improved effects, caused by realistic responses, are classified according to EMTDC (Electro-Magnetic Transient Design and Control) analysis.

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Coordinated Control Strategy of Wind Turbine Generator and Energy Storage Equipment for Frequency Support

Cited by 223 publications

References 26 publications

Frequency Divider

Frequency Divider

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

A Study of Order Modification for Reactive Power Support by Wind Farm during Communication Failure

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