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Power swing and voltage stabilization by PV generator with active and reactive power controls
(2017-07-13)
Pothisoonthorn, Sukanya
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Ngamroo, Issarachai
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Kunakorn, Anantawat
Undamped power and voltage swings of synchronous generators due to severe disturbances may make power systems unstable. To tackle this problem, this paper proposes a control scheme of active and reactive power outputs of a photovoltaic (PV) generator equipped with power oscillation dampers (PODs). The PODs with second-order lead/lag structure are installed in the active and reactive power control loops of the PV. The POD parameters in both control loops are simultaneously optimized so that the power and voltage swings are minimized. Solving the optimization problem by the particle swarm optimization, the optimal parameters of PODs can be automatically achieved. Simulation study demonstrates that the stabilizing performance of the PV with the optimal POD is superior to that of the PV with the non-optimal POD against various power flow levels and severe faults.
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Active power modulation control of hybrid PV generator-battery for power swing stabilization
(2016-09-06)
Pothisoonthorn, Sukanya
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Ngamroo, Issarachai
This paper proposes the active power modulation control scheme of the hybrid photovoltaic (PV) generator and battery for power swing stabilization. The battery which is connected to the DC link of the PV generator, is used to smooth the output power fluctuation of the PV generator during normal operation. During faults, the stored energy of battery can be used for the active power output modulation control of the PV generator to stabilize the power swing. By equipping the power oscillation damper (POD) at the active power controller of the PV inverter, the active power output can be modulated to damp the power swing. The POD structure is a practical second-order lead/lag compensator with single input signal. Simulation study confirms the stabilizing effect of the PV with POD.
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Optimal fuzzy gain scheduling of PID controller of superconducting magnetic energy storage for power system stabilization
(2013-05-21)
Chaiyatham, Theerawut
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Ngamroo, Issarachai
It is well known that the proportional-integral-derivative (PID) can be applied to solve practical control problems effectively. However, in the face of the high system nonlinearity, the PID controller with fixed parameters may fail to provide satisfactory control performance. To enhance the PID control effect, a new design of the fuzzy gain scheduling of PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design FGS-PID controllers of superconducting magnetic energy storage (SMES) for power system stabilization. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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A self-tuning PID-based SMES controller by optimal fuzzy gain scheduling for stabilization of inter-area power system oscillation
(2013-01-16)
Chaiyatham, Theerawut
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Ngamroo, Issarachai
Generally, the PID (Proportional-Integral-Derivative) controller with fixed parameters may fail to provide satisfactory performance when the system nonlinearity is high. To augment the PID control effect, the optimal fuzzy gain scheduling for a self-tuning PID controller (FGS-PID) is presented in this paper. The proposed technique is applied to design an FGS-PID controller of superconducting magnetic energy storage (SMES) for stabilization of inter-area power system oscillation. Without trial and error, the scale factors, membership functions and control rules of the FGS-PID controller are automatically tuned by a bee colony optimization. With the optimal FGS-PID controller, the PID parameters can be adjusted automatically according to various system operating conditions. As a result, the high robustness of the FGS-PID controller can be expected. Simulation study confirms that the stabilizing effect and robustness of the proposed SMES with an optimal FGS-PID controller are much superior to those of the SMES with an optimal PID controller. © 2013 ICIC International.
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Simultaneous optimization of SMES coil size and control parameters for robust power system stabilization
(2011-06-01)
Ngamroo, Issarachai
As the coil size is the heart of superconducting magnetic energy storage (SMES), the simultaneous optimization of coil size and control parameters of SMES for robust power system stabilization is proposed. The structure of active and reactive power controllers of SMES is the practical first-order lead/lag compensator. To handle system uncertainties such as various generating and loading conditions, unpredictable network structures etc., the multiplicative uncertainty model is embedded in the system modeling. As a result, the optimization problem of SMES coil size and controller parameters based on the enhancement of system damping and robust stability margin against system uncertainties can be formulated. Solving the problem by a particle swarm optimization, both optimal coil size and controller parameters are obtained simultaneously and automatically. Simulation study in the West Japan six-area interconnected power system with two SMES units confirms the superior robustness and damping performance of the proposed SMES controller with an optimal coil size under various situations in comparison with the conventional SMES controller. © 2011 IEEE.
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An optimization of robust SMES with specified structure H∞ controller for power system stabilization considering superconducting magnetic coil size
(2011-01-01)
Ngamroo, Issarachai
Even the superconducting magnetic energy storage (SMES) is the smart stabilizing device in electric power systems, the installation cost of SMES is very high. Especially, the superconducting magnetic coil size which is the critical part of SMES, must be well designed. On the contrary, various system operating conditions result in system uncertainties. The power controller of SMES designed without taking such uncertainties into account, may fail to stabilize the system. By considering both coil size and system uncertainties, this paper copes with the optimization of robust SMES controller. No need of exact mathematic equations, the normalized coprime factorization is applied to model system uncertainties. Based on the normalized integral square error index of inter-area rotor angle difference and specified structured H <inf>∞</inf> loop shaping optimization, the robust SMES controller with the smallest coil size, can be achieved by the genetic algorithm. The robustness of the proposed SMES with the smallest coil size can be confirmed by simulation study. © 2010 Elsevier Ltd. All rights reserved.
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Robust SMES controller design based on inverse additive perturbation for stabilization of interconnected power systems with wind farms
(2010-03-01)
Ngamroo, Issarachai
This paper proposes a robust controller design of Superconducting Magnetic Energy Storage (SMES) for stabilization of tie-line power oscillation in the interconnected power systems with wind farms. The inverse additive perturbation model is applied to represent system uncertainties such as several generating and loading conditions, variation of system parameters, wind power fluctuations, etc. The structure of active and reactive power controllers of SMES is the first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on the enhancement of additive stability margin. The genetic algorithm is used to solve the problem and achieve the controller parameters. Simulation studies in the two-area four-machine interconnected power system with wind farms confirm the robustness of the proposed SMES under various operating conditions. © 2009 Elsevier Ltd. All rights reserved.
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Stabilization of tie-line power oscillations by robust SMES in interconnected power system with large wind farms
(2009-12-16)
Ngamroo, I.
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Cuk Supriyadi, A. N.
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Dechanupaprittha, S.
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Mitani, Y.
This paper proposes a robust controller design of Superconducting Magnetic Energy Storage (SMES) for stabilization of interconnected power systems with wind farms. The inverse additive perturbation is applied to represent system uncertainties such as variation of system parameters, several generating and loading conditions etc. The structure of active and reactive power controllers of SMES is the first-order lead-lag compensator. To tune the controller parameters, the optimization problem is formulated based on the enhancement of additive stability margin. The particle swarm optimization is used to solve for controller parameters. Simulation studies in a six-area interconnected power system with wind farms confirm the robustness of the proposed SMES against various system operating conditions.
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A robust SMES controller design for stabilization of inter-area oscillations based on wide area synchronized phasor measurements
(2009-12-01)
Ngamroo, Issarachai
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Ali Nanda, Cuk Supriyadi
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Dechanupaprittha, Sanchai
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Watanabe, Masayuki
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Mitani, Yasunori
This paper proposes a robust power controller design of superconducting magnetic energy storage (SMES) based on wide area synchronized phasor measurement units (PMUs) for stabilization of inter-area oscillation. The structure of active and reactive power controllers of SMES is the first-order lead/lag compensator. Assuming multiple PMUs are located in an interconnected power system, the steady state phasor data are obtained by applying the small load perturbation. Using the phasor data, the simplified oscillation model (SOM) included with SMES power controllers can be identified and applied to estimate the dominant inter-area oscillation modes. In the robust control design, unstructured system uncertainties such as various operating conditions, system parameters variation, etc., are represented by the inverse additive perturbation and included in the SOM. To enhance the system robust stability margin, the optimization of SMES control parameters is solved by genetic algorithm in the SOM. Simulation studies in the West Japan 6-machine power system confirm that the robustness of the proposed SMES is much superior to the conventional SMES against various operating conditions and fault locations. © 2009 Elsevier B.V. All rights reserved.
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Design of SMES controller for improving stabilization of interconnected power system based on synchronized phasor measurement
(2007-12-01)
Dechanupaprittha, Sanchai
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Hongesombut, Komsan
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Watanabe, Masayuki
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Mitani, Yasunori
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Ngamroo, Issarachai
This paper presents the design of superconducting magnetic energy storage (SMES) controller for improving stabilization of interconnected power system based on synchronized phasor measurement. Load variations with abrupt changes occurring in a power system cause fluctuations of tie-line power flow and significantly disturb the effective use of transmission lines. As one of promising energy storage devices, SMES is applied for power system stabilization. SMES controller is designed based on the wide area synchronized phasor measurement. The estimated model is determined as a coupled vibration model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies are carried out to demonstrate the applicability and effectiveness of the design method. ©2007 IEEE.

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