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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.
;
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 practical controller design of distributed energy resources for stabilization of interconnected power system based on synchronized phasor measurements
(2009-12-01)
Dechanupaprittha, S.
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Watanabe, M.
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Mitani, Y.
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Hongesombut, K.
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Ngamroo, I.
With today's advanced technologies, various types of distributed energy resources (DERs) with relatively fast controllability option have been brought into practical applications. This paper presents a metaheuristic-based controller design of controllable DER for stability enhancement based on synchronized phasor measurements. With the most recent data, a simplified oscillation model (SOM) is evaluated and referred to as an estimated power system model for detection and assessment of an estimated inter-area oscillation mode. Subsequently, an extended SOM is formulated by including dynamic effects of DER control system. The designed controller can be achieved via a metaheuristic method with less effort towards the design specification. Moreover, performance of the designed controller can be evaluated during design to avoid its adverse effects. Some simulation results demonstrate and confirm the applicability and effectiveness of the proposed controller design method. ©2009 IEEE.
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Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms
(2008-12-01)
Cuk Supriyadi, A. N.
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Ngamroo, I.
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Kunakorn, A.
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Dechanupaprittha, S.
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Watanabe, M.
This paper proposes a design of robust power system stabilizer (RPSS) based on inverse additive perturbation optimization in an interconnected power system with wind farms. In the design, system uncertainties are represented by the inverse additive model. The robust stability condition is used to form the optimization problem of PSS parameters. The structure of PSS is a conventional second-order lead-lag controller. The genetic algorithm is applied to solve the problem and achieve the PSS parameters. Simulation studies in the two-area four-machine system with wind farms confirm that the damping effect and robustness of the proposed PSS are superior to those of the compared PSS. © 2008 SICE.
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A practical approach to tuning of SMES controller based on synchronized phasor measurements for interconnected power system with wind farms
(2008-12-01)
Dechanupaprittha, S.
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Li, C.
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Watanabe, M.
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Mitani, Y.
;
Hongesombut, K.
The high penetration of hardly predictable wind power with abrupt changes adversely affects many aspects of power system operations and control, in particular power system stability. To achieve the controller design in practice, this paper presents an approach to tuning of SMES controller based on synchronized phasor measurements for interconnected power system with wind farms. The designed controller is aimed at improving the system damping performance, meanwhile enhancing the stability of a power system. With PMUs, the most recent data of power system can be obtained for controller design. The extended simplified oscillation model is determined for detection and assessment of an approximated inter-area oscillation mode including SMES controller effects. The parameters of SMES controller are systematically tuned with less effort by tabu search towards the design specification. Finally, some simulation studies are carried out to demonstrate and confirm the applicability and effectiveness of the presented approach. © 2008 IEEE.
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Analysis of power system event using synchronized PMUs in Thailand power network
(2007-12-01)
Ngamroo, I.
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Kunakorn, A.
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Leelajindakrirerk, M.
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Mitani, Y.
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Dechanupapritta, S.
This paper applies the synchronized phasor measurement units (PMUs) based wide-area monitoring system to analyze the power system event under the occurrence of large disturbance. The salient feature of the monitoring system is the convenient installation of PMU at 220 V home outlet. The power system event given here is the tripping of High-Voltage Direct Current (HVDC) link between Thailand and Malaysia due to the fault in a thyristor room at Khlong Ngae converter station of Thailand side on July 22, 2005. The discrete wavelet decomposition and short-time Fourier Transform have been applied to analyze the characteristic of the inter-area oscillation between central and southern areas in both time and frequency domains. Analyzed results based on PMUs data are consistent with the actual tie-line power flow between both areas.
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A heuristic-based design of fuzzy SMES controller for stabilization of interconnected power system
(2006-12-01)
Dechanupaprittha, S.
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Mitani, Y.
;
Watanabe, M.
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Hongesombut, K.
;
Ngamroo, I.
This paper presents a heuristic-based design of fuzzy logic controller for a superconducting magnetic energy storage (SMES) for stabilization of interconnected power system. Nowadays, a power system becomes complex due to increasing demand in electricity and power system network expansion. Subject to major disturbances, occurrence of power system oscillations is unavoidable. To alleviate the problem, the fuzzy SMES controller is applied in this paper. In particular, SMES has a simultaneous control scheme of active and reactive power. Moreover, the heuristic method, i.e. hybrid tabu search and evolutionary programming (Hybrid TS/EP) is employed to simultaneously optimize control rules and membership functions for fuzzy SMES controller. Consequently, the simulation results and evaluations based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller.
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Detection of power system oscillations using synchronized phasor measurement units through home power outlets
(2006-12-01)
Ngamroo, I.
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Mitani, Y.
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Dechanupaprittha, S.
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Hongesombut, K.
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Jintakosonwit, P.
This paper deals with a detection system of the inter-area oscillation between central and southern areas of Thailand power system using GPS-based synchronized phasor measurement units (PMUs). The PMUs are installed at two universities representing both areas. The phasor data of a single phase voltage 220 V are measured by PMU via power outlet. The proposed system not only requires low capital cost but uses internet for data transmission. The wavelet decomposition and least-squares error are applied to identify the eigenvalue corresponding to inter-area mode.
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Design of robust load-frequency stabilizers of SMES in coordination with SSSC
(2005-01-01)
Ngamroo, I.
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Dechanupaprittha, S.
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Hongesombut, K.
;
Mitani, Y.
;
Kunakorn, A.
This paper presents a design of robust load-frequency stabilizers of a superconducting magnetic energy storage (SMES) in coordination with a static synchronous series compensator (SSSC). As large load disturbances with changing frequency in the vicinity of the inter-area oscillations mode occur in an interconnected power system, a system frequency may be heavily perturbed and oscillatory. To stabilize frequency oscillations, a coordinated SMES with SSSC can be applied. On the other hand, variations of system parameters, several load changes etc., cause system uncertainties. To take such uncertainties into account, the multiplicative uncertainty is included in a system modeling. The structure of frequency stabilizer equipped with SMES and SSSC is a second-order lead/lag compensator. Control parameters of frequency stabilizers are automatically tuned by a tabu search. Simulation studies in a two-area interconnected power system confirm the effect of coordinated SMES with SSSC.

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