Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Tamrakar, Ujjwol; Shrestha, Dipesh; Malla, Naresh; Ni, Zhen; Hansen, Timothy M.; Tamrakar, Indraman; Tonkoski, Reinaldo

doi:10.3390/app8122695

Cited by 19 publications

(14 citation statements)

References 48 publications

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“…The dependence of the frequency drop on the active power change is presented in Table 3. A drop in frequency greater than short-term tolerance, i.e., >200 mHz, is reached in the event of the load increasing by 30 MW or more [15][16][17][18][19]. A frequency drop to the critical, i.e., to 49.80 Hz, limit corresponds to the load increasing by 25 MW.…”

Section: Response Of Isolated Eps To a Load Increasementioning

confidence: 99%

Dynamic Stability Analysis of Isolated Power System

2022

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The islanded mode of operation of an electric power system (EPS) that has generation capabilities provided by conventional thermal power plants, by a pumped-storage power station, or from an interlink with a neighboring electric power system through an HVDC BtB converter is addressed in this paper. The risk for electrical power systems to fall into an islanded mode has recently grown, as it is caused not just by technical reasons but by a geopolitical situation as well. The current strains demand the close consideration of problems related to EPS operation in an islanded mode. This paper considers several. The research covers the following issues. The response of the islanded system to a sudden and spasmodic load change is analyzed in cases when the system deals with the disturbance with internal resources alone and with the help of an HVDC BtB converter’s frequency control functionality. Analysis of the impact of the settings of the HVDC BtB converter on the system’s response to disturbances is presented and the optimal set of parameters found. The impact of the system’s extended inertia on the system’s response is evaluated by using an additional unit of the pumped-storage power station in synchronous condenser mode. Transients in the system when switching a unit operating in synchronous condenser mode on and off are analyzed. The capability of the system to withstand major disturbances, such as disconnection of the pumped-storage power station’s unit operating in a pump mode and disconnection of the HVDC BtB converter in emergency modes, if a situation demands, is researched. The research is carried out by numerical simulations using PSS Sincal Electricity Basic software. Updated operating parameters of the isolated power system and the LCC HVDC BtB converter, as well as frequency control automation provided by ABB, were used in the simulations.

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Section: Response Of Isolated Eps To a Load Increasementioning

confidence: 99%

Dynamic Stability Analysis of Isolated Power System

2022

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“…These dynamics are much faster than the frequency dynamics, which are the main concern of this paper. A PI-type-2 controller as described in [37] is used to implement the current controllers which control the output of the current-controlled voltage sources. The ESS is interfaced through an LC filter with an inductance L f = 10mH and capacitance C f = 3.3μF .…”

Section: A Test Systemmentioning

confidence: 99%

Optimization-Based Fast-Frequency Estimation and Control of Low-Inertia Microgrids

Tamrakar

Copp

Nguyen

et al. 2021

IEEE Trans. Energy Convers.

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The lack of inertial response from non-synchronous, inverter-based generation in microgrids makes the power system vulnerable to a large rate of change of frequency (ROCOF) and frequency excursions. Energy storage systems (ESSs) can be utilized to provide fast-frequency support to prevent such large excursions in the system. However, fast-frequency support is a power-intensive application that has a significant impact on the ESS lifetime. In this paper, a framework that allows the ESS operator to provide fast-frequency support as a service is proposed. The framework maintains the desired quality-of-service (limiting the ROCOF and frequency) while taking into account the ESS lifetime and physical limits. The framework utilizes moving horizon estimation (MHE) to estimate the frequency deviation and ROCOF from noisy phaselocked loop (PLL) measurements. These estimates are employed by a model predictive control (MPC) algorithm that computes control actions by solving a finite-horizon, online optimization problem. Additionally, this approach avoids oscillatory behavior induced by delays that are common when using low-pass filters as with traditional derivative-based (virtual inertia) controllers. MATLAB/Simulink simulations on a test system from Cordova, Alaska, show the effectiveness of the MHE-MPC approach to reduce frequency deviations and ROCOF of a low-inertia microgrid.

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“…In fact, the optimization algorithm in [ 12 , 13 ] may underestimate the optimal flux with no adaptation of real-time parameters’ mechanisms, which may as well direct the destabilization of the drive system and impact the problem of “motor stalling”, particularly in the existence of an immediate change in load torque. It should be noted that in the full operating region, there is a critical issue in the identification of IM parameters accurately [ 14 , 15 , 16 ] and simultaneously, even by using the IM parameter stacking algorithms. Over the last few years, researchers have been working on evolutionary algorithms [ 17 ] such as genetic algorithms (GA) and swarm-intelligence-based algorithms [ 18 ] such as PSO, GSO, DA, FF, and ACO for optimization purposes under different working environments.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

Shukla¹,

Srivastava

Mirjalili

2022

Sensors

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Induction motors tend to have better efficiency on rated conditions, but at partial load conditions, when these motors operate on rated flux, they exhibit lower efficiency. In such conditions, when these motors operate for a long duration, a lot of electricity gets consumed by the motors, due to which the computational cost as well as the total running cost of industrial plant increases. Squirrel-cage induction motors are widely used in industries due to their low cost, robustness, easy maintenance, and good power/mass relation all through their life cycle. A significant amount of electrical energy is consumed due to the large count of operational units worldwide; hence, even an enhancement in minute efficiency can direct considerable contributions within revenue saving, global electricity consumption, and other environmental facts. In order to improve the efficiency of induction motors, this research paper presents a novel contribution to maximizing the efficiency of induction motors. As such, a model of induction motor drive is taken, in which the proportional integral (PI) controller is tuned. The optimal tuning of gains of a PI controller such as proportional gain and integral gain is conducted. The tuning procedure in the controller is performed in such a condition that the efficiency of the induction motor should be maximum. Moreover, the optimization concept relies on the development of a new hybrid algorithm, the so-called Scrounger Strikes Levy-based dragonfly algorithm (SL-DA), that hybridizes the concept of dragonfly algorithm (DA) and group search optimization (GSO). The proposed algorithm is compared with particle swarm optimization (PSO) for verification. The analysis of efficiency, speed, torque, energy savings, and output power is validated, which confirms the superior performance of the suggested method over the comparative algorithms employed.

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Comparative Analysis of Current Control Techniques to Support Virtual Inertia Applications

Cited by 19 publications

References 48 publications

Dynamic Stability Analysis of Isolated Power System

Dynamic Stability Analysis of Isolated Power System

Optimization-Based Fast-Frequency Estimation and Control of Low-Inertia Microgrids

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

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