A novel approach for robust control design of hidden synthetic inertia for variable speed wind turbines

Magnus, Douglas M.; Scharlau, C.C.; Pfitscher, Luciano Lopes; Costa, Gustavo; Silva, Guilherme M.

doi:10.1016/j.epsr.2021.107267

Cited by 20 publications

(4 citation statements)

References 24 publications

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“…The resulting power will then be set as a command for the inverter to supply power to the power system. The complete transfer function of the proposed FOVIC can be expressed as in (23):…”

Section: Description Of the Proposed Fractional-order Virtual Inertia...mentioning

confidence: 99%

“…In [22], a fuzzy-based virtual inertia strategy is introduced to control frequency deviation in a hybrid power system. Methodologies considering robust control techniques, such as the coefficient diagram method and H ∞ have been proposed in [23,24] for MGs considering high RESs penetration. Other methodologies have adopted model predictive control [25] and adaptive VIC [26,27] to improve system frequency stability.…”

Section: Introductionmentioning

confidence: 99%

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A New Fractional-Order Virtual Inertia Support Based on Battery Energy Storage for Enhancing Microgrid Frequency Stability

Nour,

Magdy,

Bakeer

et al. 2023

Fractal Fract

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Microgrids have a low inertia constant due to the high penetration of renewable energy sources and the limited penetration of conventional generation with rotating mass. This makes microgrids more susceptible to frequency stability challenges. Virtual inertia control (VIC) is one of the most effective approaches to improving microgrid frequency stability. Therefore, this study proposes a new model to precisely mimic inertia power based on an energy storage system (ESS) that supports low-inertia power systems. The developed VIC model considers the effect of both the DC-DC converter and the DC-AC inverter on the power of the ESS used. This allows for more precise and accurate modeling of the VIC compared to conventional models. Moreover, this study proposes a fractional-order derivative control for the proposed VIC model to provide greater flexibility in dealing with different perturbations that occur in the system. Furthermore, the effectiveness of the proposed fractional-order VIC (FOVIC) is verified through an islanded microgrid that includes heterogeneous sources: a small thermal power plant, wind and solar power plants, and ESSs. The simulation results performed using MATLAB software indicate that the proposed VIC scheme provides fast stabilization times and slight deviations in system frequency compared to the conventional VIC schemes. The proposed VIC outperforms the conventional load frequency control by about 80% and the conventional VIC model by about 45% in tackling load/RESs fluctuations and system uncertainty. Additionally, the studied microgrid with the proposed FOVIC scheme is noticeably more stable and responds faster than that designed with integer-order derivative control. Thus, the proposed FOVIC scheme gives better performance for frequency stability of low-inertia power systems compared to conventional VIC schemes used in the literature.

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“…The resulting power will then be set as a command for the inverter to supply power to the power system. The complete transfer function of the proposed FOVIC can be expressed as in (23):…”

Section: Description Of the Proposed Fractional-order Virtual Inertia...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Fractional-Order Virtual Inertia Support Based on Battery Energy Storage for Enhancing Microgrid Frequency Stability

Nour,

Magdy,

Bakeer

et al. 2023

Fractal Fract

View full text Add to dashboard Cite

show abstract

“…One of the main approaches to the formation of synthetic inertia is the use of SI [8,15] Implementation of SI is usually considered in relation to wind turbines (WT) [8,15,[19][20][21]. This is due to the possibility of using the stored energy of the rotating wind wheel for a short-term increase in the power output of the WT during the occurrence of frequency sag in the EPS.…”

Section: Approach To the Implementation Of The Si Algorithm And The "...mentioning

confidence: 99%

Study of Algorithm Synthetic Inertia Functioning in Electric Networks Ofdifferent Density

Rudnik¹

2022

Eurasian phys. tech. j.

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The ability to use the algorithm synthetic inertia (SI) is one of the most important properties of renewable energy sources (RES) generating units connected to the network via a power converter (GUPC). Through the useof SI algorithm there is an opportunity to increase the inertia and damping properties of such plants. The effectiveness of the SI algorithm depends on the mains frequency input value, which is formed by the phase locked loop (PLL), which is an integral part of the power converter control system. However, the operation of the PLL can lead to oscillations with different frequencies when the GUPC is installed in weak electrical networks and, accordingly, adversely affect the performance of the SI algorithm. The studies have shown that the PLL in the photovoltaic plant (PV) control system allows to influence the performance of the SI algorithm, but the nature of this influence depends on the electric network density and can be positive or negative. The influence obtained on the test EPS is also confirmed for the power system of large-scale.

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“…In this method, no energy storage system is used. As the turbine blades' angle and their angular velocity are set to obtain the smooth power, the maximum power point (MPP) is not tracked, which is essential in the wind power plant operation [4,5].…”

Section: Introductionmentioning

confidence: 99%

A novel output power determination and power distribution of hybrid energy storage system for wind turbine power smoothing

Eydi

Alishahi

Zarif

2022

IET Electric Power Appl

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This paper deals with the power smoothing of the wind power plants connected to a microgrid using a hybrid energy storage system (HESS). In a HESS, the power should be distributed between the battery and capacitor such that the capacitor supplies the peaks of power and its high‐frequency fluctuations, and the battery compensates for the rest. Besides, due to the relatively low lifetime of the batteries compared to the capacitors, it is preferred to transfer power fluctuations to the capacitor as much as possible. In this paper, methods for calculating the output, battery, and capacitor powers are presented. The output power is determined based on the grid restrictions and the battery SOC. The battery and capacitor powers are decided via an adaptive low‐pass filter. The cut‐off frequency of the low‐pass filter is specified by a fuzzy controller such that not only the power spikes and high‐frequency fluctuations are transferred to the capacitor but also the battery SOC variations are reduced. The simulation results show that for the presented wind speed profile, the output power determination reduces 13.7% of the HESS exchanged energy compared to the ramp limiting method. Besides, the proposed power distribution method reduces 92.6% of the unbeneficial charges and discharges of HESS and 8% of the battery exchanged energy compared to the condition that the constant cut‐off frequency filter is utilised. The experimental results confirm the effectiveness of the proposed output power determination and HESS power distribution methods. Analysing the methods’ cost proves that although the utilisation of the capacitor bank increases the system initial investment cost, it will return after a while relying on the units’ capacity, power fluctuations, control method etc.

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A novel approach for robust control design of hidden synthetic inertia for variable speed wind turbines

Cited by 20 publications

References 24 publications

A New Fractional-Order Virtual Inertia Support Based on Battery Energy Storage for Enhancing Microgrid Frequency Stability

A New Fractional-Order Virtual Inertia Support Based on Battery Energy Storage for Enhancing Microgrid Frequency Stability

Study of Algorithm Synthetic Inertia Functioning in Electric Networks Ofdifferent Density

A novel output power determination and power distribution of hybrid energy storage system for wind turbine power smoothing

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