KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 8 of 8

Some of the metrics are blocked by your
consent settings
Two-Stage Optimization Based on SOC Control of SMES Installed in Hybrid Wind/PV System for Stabilizing Voltage and Power Fluctuations
(2021-11-01)
Pahasa, Jonglak
;
Ngamroo, Issarachai
This paper proposes the two-stage optimization of superconducting magnetic energy storage (SMES) integrated into hybrid wind/photovoltaic (PV) generators considering the state of charge (SOC) control for stabilizing voltage and power fluctuations. The first stage aims to achieve the minimal coil inductance of SMES that guarantees the stored energy for system stabilization. In the second stage, the control parameters of SMES are optimized to keep the SOC at the desired level. As a result, the minimum coil inductance with sufficient stored energy of SMES for stabilizing system and regulating SOC at the target value can be obtained for entire period of operation. Study results in the distribution system with various loads ensure that the hybrid wind/PV with optimized internal SMES yields superior stabilizing performance in comparison with the SMES externally installed at the wind/PV terminal.
Some of the metrics are blocked by your
consent settings
Improved H2/H∞ control-based robust PI controller design of SMES for suppression of power fluctuation in microgrid
(2014-10-15)
Vachirasricirikul, Sitthidet
;
Ngamroo, Issarachai
In the microgrid integrated with the renewable energy sources such as wind power and photovoltaic, the random power productions from such renewable sources may cause the severe power fluctuation problem. This paper focuses on a robust controller design of a superconducting magnetic energy storage (SMES) for stabilizing the power fluctuation in a microgrid. The proportional-integral (PI)-based damping controllers for active and reactive power control of SMES are optimally tuned based on the improved H<inf>2</inf>/H<inf>∞</inf> control with the automatic selection of the reference input. The particle swarm optimization is applied to achieve the optimal PI parameters automatically. Simulation results show that the power fluctuation from the renewable sources is greatly damped by robust SMES controller.
Some of the metrics are blocked by your
consent settings
Improving Low-Voltage Ride-Through Performance and Alleviating Power Fluctuation of DFIG Wind Turbine in DC Microgrid by Optimal SMES with Fault Current Limiting Function
(2014-10-01)
Ngamroo, Issarachai
;
Karaipoom, Tanapon
The vital problems of doubly fed induction generator (DFIG) wind turbine are power fluctuation and low-voltage ride-through performance. To tackle both problems, the new circuit configuration and optimization technique of the superconducting magnetic energy storage with fault current limiting function (SMES-FCL) in a DC microgrid are presented. The SMES-FCL circuit mainly consists of two DC choppers with common superconducting coil (SC). During normal operation, the SMES-FCL acts as the SMES unit to suppress the power fluctuation of DFIG. When severe faults occur in the system, the SC is automatically connected to the system and used as the fault current limiter. Consequently, the fault current and the terminal voltage drop of DFIG can be alleviated. The energy function method is used to formulate the optimization problem of SC inductance, initial stored energy, and proportional-integral control parameters of choppers. Simulation study confirms the superior control effect of the SMES-FCL over the conventional SMES.
Some of the metrics are blocked by your
consent settings
Optimized SFCL and SMES units for multimachine transient stabilization based on kinetic energy control
(2013-03-11)
Ngamroo, Issarachai
;
Vachirasricirikul, Sitthidet
Power system transient instability due to short circuits may result in loss of synchronism. To improve stability, resistive type superconducting fault current limiter (SFCL) and superconducting magnetic energy storage (SMES) can be effectively used. This paper proposes a new optimization of multiple SFCL and SMES units for transient stabilization in a multimachine power system based on kinetic energy control. Two applications of the proposed optimization are studied in the West Japan six-area interconnected power system. First, the SFCL is applied to solve the inevitable problems of SMES used for transient stability enhancement, i.e., required large power and energy capacities, and fail-operational performance due to the large voltage drop at the SMES bus. When the fault occurs, the SFCL swiftly reduces the increase in the kinetic energy of all generators by limiting the fault current. Subsequently, the SMES handles the remaining unbalanced kinetic energy. The optimization problem of the resistive value of the SFCL is formulated, considering energy dissipation in combination with the power controller parameters of SMES with optimal coil size. A simulation study shows the superior effect of the combined SFCL and SMES over either device separately. With SFCL, the low voltage ride-through capability of SMES can be enhanced. The MW and MJ capacities of the SMES are also significantly reduced. Second, a new optimization of multiple SFCL units considering optimal locations, optimal number, optimal resistive values, and energy dissipation during quenching state is presented. The optimization problem is formulated by maximizing the decreasing rate of energy function during fault in combination with minimizing the energy dissipation of the SFCL during quenching state. A simulation study confirms the superior effect of optimal SFCL units over nonoptimal SFCL units. © 2002-2011 IEEE.
Some of the metrics are blocked by your
consent settings
Enhancement of LVRT performance and alleviation of power fluctuation of DFIG wind turbine in DC microgrid by SMES
(2013-01-01)
Karaipoom, Tanapon
;
Ngamroo, Issarachai
Recently, a doubly fed induction generator (DFIG) wind turbine has been extensively paid attentions as a renewable energy source in the DC microgrid. However, the inevitable problems of DFIG wind turbine are low voltage ride through (LVRT) due to the occurrence of faults as well as the power fluctuation. To overcome both problems, a superconducting magnetic energy storage (SMES) unit which is able to provide fast control of active and reactive power, can be used. This paper applies a SMES unit to enhance LVRT performance and alleviate the power fluctuation of DFIG wind turbine in the DC microgrid. The SMES circuit is mainly composed of the DC chopper. The PI controllers of DC chopper are used to control the exchange energy between the superconducting coil and the system. Simulation study using MATLAB/SimPowerSystems ensures the SMES control effect on both enhancing LVRT performance and smoothing power fluctuation of DFIG wind turbine. © 2013 IEEE.
Some of the metrics are blocked by your
consent settings
Optimal least squares support vector machines for SMES controller design using wide area phasor measurements
(2012-07-01)
Pahasa, Jonglak
;
Ngamroo, Issarachai
In this paper, the least squares support vector machines (LS-SVMs) based design of superconducting magnetic energy storage (SMES) controller is proposed for wide area stability control. The LS-SVMs for SMES controllers are trained by local and inter-area data based on synchronized phasor measurements considering time delay. A large amount of training data set of a multi-machine power system is reduced by the measurement of similarity among samples. The LS-SVM parameters and the similarity threshold are optimized by a particle swarm optimization. Subsequently, the redundant data in the training set can be discarded while the reduced data are the optimal support vectors in the LS-SVM model. The LS-SVM control signals can be adapted by various operating conditions and different disturbances. Simulation results in a six-area West Japan interconnected power system demonstrate that the proposed LS-SVM for SMES controller is robust to various disturbances under wide range of operating conditions in comparison to the conventional SMES. Copyright © 2011 John Wiley & Sons, Ltd.
Some of the metrics are blocked by your
consent settings
Alleviation of power fluctuation in interconnected power systems with wind farm by SMES with optimal coil size
(2012-06-25)
Saejia, Mongkol
;
Ngamroo, Issarachai
The large penetration of wind power into interconnected power systems causes the severe power fluctuation in tie-lines. To alleviate power fluctuation, the superconducting magnetic energy storage (SMES) can be applied. Nevertheless, the installation of SMES is quite costly. Especially, the superconducting coil size which is the vital part of SMES, must be carefully specified. This paper proposes a new optimization technique of power controller parameters and coil sizes of multiple SMES units for alleviation of tie-line power fluctuation in interconnected power systems with wind farms. The structure of active and reactive power controllers of SMES is the proportional-integral (PI). Based on the minimization of the variance of tie-line power fluctuation and the initial stored energy of a SMES unit, the optimal PI parameters and coil size can be automatically tuned by a particle swarm optimization. Simulation study in the West Japan interconnected systems confirms that the proposed SMES with optimal coil size is able to effectively and robustly suppress power fluctuation against various wind power patterns and heavy power flow levels. © 2002-2011 IEEE.
Some of the metrics are blocked by your
consent settings
Coordinated control of optimized SFCL and SMES for improvement of power system transient stability
(2012-06-25)
Ngamroo, Issarachai
;
Vachirasricirikul, Sitthidet
It is well known that the Superconducting Magnetic Energy Storage (SMES) is effective to damp the power swing after the occurrence of faults. Nevertheless, if the SMES is also applied for transient stability improvement, a large power capacity of SMES is required. Additionally, the SMES is not able to absorb enough energy during faults since the bus voltage where the SMES is installed, drops considerably. To enhance the SMES control effect and transient stability, this paper proposes the coordinated control of the optimized resistive type superconducting fault current limiter (SFCL) and SMES. When the fault occurs, the SFCL rapidly suppresses the transient power swing by limiting the fault current. Subsequently, the SMES damps out the remaining power swing. The optimization problem of SFCL resistance and power controller parameters of SMES with optimal coil size is formulated based on an augmentation of transient stability margin and damping performance. Solving the problem by the particle swarm optimization, the optimal parameters of SFCL and SMES can be automatically obtained. Simulation study confirms the superior stabilizing effect of the coordinated SFCL and SMES over the individual device. The SFCL not only solves the voltage drop problem at the SMES bus, but also assists the SMES to stabilize the system. Besides, the MW and MJ capacities of the SMES operated with SFCL are significantly reduced. © 2002-2011 IEEE.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results