Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms

Ngamroo, Issarachai; Supriyadi, Ade; Dechanupaprittha, Sanchai; Mitani, Yasunori

doi:10.1109/td-asia.2009.5356850

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…ESS active and reactive power output (P ESS and Q ESS ) are the outputs of ESS controlled converter. ESS converter is represented by a first-order time lag compensator (Wu et al, 2012) whose transfer function G(s) is given by equation 16G s Ts Figure 3 are proportional to the deviation in frequency (∆ω) and voltage (∆V), respectively (Ngamroo et al, 2009), and are given by equations (17) and (18)…”

Section: Ess As Current Sourcementioning

confidence: 99%

MATLAB/Simulink-based modelling and performance assessment of wind–diesel energy storage system

2017

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In this article, a comprehensive model is developed to study the performance of a hybrid wind-diesel energy storage system. Energy storage system exchanges both real and reactive power with the wind-diesel system to improve both frequency and voltage. For obtaining pre-disturbance steady-state scenario of the system, a modified load flow algorithm is proposed which calculates induction machine slip and other initial conditions, in addition to the results obtained with conventional load flow. A compact model is developed by integrating network model, energy storage system and machine equations along with the associated control systems. For frequency estimation concept, centre of inertia is utilised. Energy storage system is modelled as a controllable current source. Complete modelling is carried out in MATLAB/Simulink environment. Simulations are carried out for load disturbance as well as wind perturbations to demonstrate the efficacy of the proposed scheme.

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Section: Ess As Current Sourcementioning

confidence: 99%

MATLAB/Simulink-based modelling and performance assessment of wind–diesel energy storage system

2017

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“…P SMES and Q SMES are the active and reactive powers delivered/absorbed by SMES and are used to calculate the currents injected by SMES as shown in Figure 2. P dem and Q dem shown in Figure 2 are proportional to the deviation in frequency (∆ω) and voltage (∆V), respectively (Ngamroo et al, 2009) and are given by equations (15) and (16)…”

Section: Four-quadrant Operation Of Smesmentioning

confidence: 99%

“…P dem and Q dem shown in Figure 2 are proportional to the deviation in frequency (∆ ω ) and voltage (∆ V ), respectively (Ngamroo et al, 2009) and are given by equations (15) and (16)…”

Section: Modelling Of Wind-diesel Systemmentioning

confidence: 99%

Modelling and performance assessment of a standalone hybrid wind-diesel-superconducting magnetic energy storage system using four-quadrant operation of superconducting magnetic energy storage

2017

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In this article, a comprehensive model for power quality assessment of a standalone wind-diesel-superconducting magnetic energy storage system is developed using firing angle control scheme of superconducting magnetic energy storage unit. A fourquadrant operation of superconducting magnetic energy storage unit is proposed where firing angle of superconducting magnetic energy storage converter is controlled depending upon active and reactive power demand of wind-diesel system, under various disturbances. Superconducting magnetic energy storage is designed as a controllable current source capable of reducing both frequency and voltage deviations simultaneously. For continuous control of superconducting magnetic energy storage unit, a regulating variable is formulated which forces the superconducting magnetic energy storage current to return to its nominal value after handling a disturbance in order to handle a new disturbance. Frequency of the system is estimated using the concept of centre of inertia. System performance is assessed for disturbances of higher magnitudes. Complete modelling is carried out in MATLAB/Simulink environment, and simulation results demonstrate that the scheme gives expected results under load disturbance and wind perturbations.

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“…However, SOFCs cannot adequately compensate sudden load changes and instantaneously smooth severe wind power fluctuations because of their slow dynamic response [9][10][11]. Thus, a superconducting magnetic energy storage (SMES) system, which can act as a good tool for considerably decreasing the power fluctuations of the wind generator system, was used [12][13][14][15][16][17][18]. The overall control of the microgrid power system was performed using the control and monitoring system (CMS) [6].…”

Section: Open Accessmentioning

confidence: 99%

“…The energy stored in the SMES E (J) and the initial energy stored E 0 (J) can be determined by [17,18]: (16) where I 0 is the actual value of initial coil current (A); the coil inductance of SMES, L is set at 3.3H; E out is the energy output (J):…”

Section: Smes Modelsmentioning

confidence: 99%

Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

Zhang

et al. 2013

Energies

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Wind power causes fluctuations in power systems and introduces issues concerning system stability and power quality because of the lack of controllability of its discontinuous and intermittent resources. This paper presents a coordinated control strategy for solid oxide fuel cells (SOFCs) and superconducting magnetic energy storage (SMES) to match the intermittent wind power generation and compensate for the rapid load changes. An optimal H∞ control method, where the weighting function selection is expressed as an optimization problem, is proposed to mitigate tie-line power fluctuations and the mixed-sensitivity approach is used to deal with the interference suppression. Simulation results show that the proposed method significantly improves the smoothing effect of wind power fluctuations. Compared with the conventional control method, the proposed method has better anti-interference performance in various operating situations.

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Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms

Cited by 6 publications

References 7 publications

MATLAB/Simulink-based modelling and performance assessment of wind–diesel energy storage system

MATLAB/Simulink-based modelling and performance assessment of wind–diesel energy storage system

Modelling and performance assessment of a standalone hybrid wind-diesel-superconducting magnetic energy storage system using four-quadrant operation of superconducting magnetic energy storage

Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power

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