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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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Robust frequency stabilization in a microgrid system
(2009-12-16)
Vachirasricirikul, S.
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Ngamroo, I.
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Kaitwanidvilai, S.
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Chaiyatham, T.
This paper proposes a new design of a robust control and monitoring system (RCMS) for robust stabilization of frequency fluctuation in a microgrid (MG) system. In MG system, the power sources consists of wind power (WP), photovoltaic (PV), microturbine (MT) and fuel cell (FC). Due to WP, PV and load fluctuations, the frequency stabilization of RCMS is performed by adjusting the power outputs of MT and electrolyzer system (ES) in both islanding and interconnected utility grid operations. The structure of MT and ES controllers is a proportional integral (PI). To enhance the robustness of designed controllers against system uncertainties, controller parameters of MT and ES are concurrently tuned by the particle swarm optimization based on a specified-structure H<inf>∞</inf> loop shaping control. Simulation results display the effectiveness and robustness of the proposed RCMS against system parameters variation and several 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 robust control and monitoring system for microgrid stabilization
(2009-10-22)
Vachirasricirikul, Sitthidet
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Ngamroo, Issarachai
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Kaitwanidvilai, Somyot
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Chaiyatham, Theerawut
This paper proposes a design of the robust control and monitoring system (RCMS) for stabilization of microgrid (MG) system. The power sources in MG consists of wind power (WP), photovoltaic (PV), micro-turbine (MT) and fuel cell (FC). Due to intermittent powers from WP, PV and load fluctuations, the MG stabilization of RCMS is performed by controlling the power outputs of MT and electrolyzer system (ES) in both islanding and interconnected utility grid operations. The structure of MT and ES controllers is the proportional integral (PI). By taking system uncertainties into account, control parameters of MT and ES are simultaneously optimized based on the particle swarm optimization (PSO) based fixed-structure H<inf>∞</inf> loop shaping control. Simulation results show the robustness and effectiveness of the proposed RCMS against the variation of system parameters and operating conditions. ©2009 IEEE.
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Structured robust loop shaping control for HIMAT system using PSO
(2009-04-13)
Kaitwanidvilai, Somyot
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Jangwanitlert, Anuwat
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Parnichkun, Manukid
Robust loop shaping control is a feasible method for designing a robust controller; however, the controller designed by this method is complicated and difficult to implement practically. To overcome this problem, in this paper, a new design technique of a fixed-structure robust loop shaping controller for a highly maneuverable airplane, HIMAT, is proposed. The performance and robust stability conditions of the designed system satisfying H<inf>∞</inf> loop shaping control are formulated as the objective function in the optimization problem. Particle Swarm Optimization (PSO) technique is adopted to solve this problem and to achieve the control parameters of the proposed controller. Simulation results demonstrate that the proposed approach is numerically efficient and leads to performance comparable to that of the other method. © 2009 American Institute of Physics.
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Power oscillation suppression by robust SMES in power system with large wind power penetration
(2009-01-01)
Ngamroo, Issarachai
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Cuk Supriyadi, A. N.
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Dechanupaprittha, Sanchai
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Mitani, Yasunori
The large penetration of wind farm into interconnected power systems may cause the severe problem of tie-line power oscillations. To suppress power oscillations, the superconducting magnetic energy storage (SMES) which is able to control active and reactive powers simultaneously, can be applied. On the other hand, several generating and loading conditions, variation of system parameters, etc., cause uncertainties in the system. The SMES controller designed without considering system uncertainties may fail to suppress power oscillations. To enhance the robustness of SMES controller against system uncertainties, this paper proposes a robust control design of SMES by taking system uncertainties into account. The inverse additive perturbation is applied to represent the unstructured system uncertainties and included in power system modeling. The configuration of active and reactive power controllers is the first-order lead-lag compensator with single input feedback. To tune the controller parameters, the optimization problem is formulated based on the enhancement of robust stability margin. The particle swarm optimization is used to solve the problem and achieve the controller parameters. Simulation studies in the six-area interconnected power system with wind farms confirm the robustness of the proposed SMES under various operating conditions. © 2008 Elsevier B.V. All rights reserved.
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Design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration
(2009-01-01)
Dechanupaprittha, Sanchai
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Sakamoto, Naotoshi
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Hongesombut, Komsan
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Watanabe, Masayuki
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Mitani, Yasunori
In power applications, efficiency and effectiveness of SMES with proper control are promising and highly remarkable, however, quite costly. Accordingly, optimum design and utilization are essentially needed. This paper presents the design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration. With lead/lag controller structure, parameters of robust SMES controller can be optimized by a metaheuristic method; meanwhile, a multiplicative uncertainty is included in the design to cope with system uncertainties. Lastly, aiming at achieving optimum design and utilization, robust controllers for SMES with different coil sizes are examined to investigate performance and robustness under different situations via simulation studies. © 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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Particle Swarm Optimization based fixed-structure H∞ loop shaping control of MIMO system
(2008-12-01)
Kaitwanidvilai, Somyot
H<inf>∞</inf> loop shaping is a sensible method for designing a robust controller; however, the controller designed by conventional H <inf>∞</inf> loop shaping is complicated with a high order. It is not easy to implement this controller in practice. To overcome this problem, in this paper, a new design technique of a fixed-structure robust controller for MIMO system is proposed. The performance and robust stability conditions of the designed system satisfying the H<inf>∞</inf> loop shaping are formulated as the objective function in the optimization problem. Particle Swarm Optimization (PSO) method is adopted to solve this problem and to achieve the control parameters of the proposed controller. The performance and robustness of the designed controllers, centralized and decentralized PID controllers, are investigated in a MIMO system (a chemical process) in comparison with the conventional H<inf>∞</inf> loop shaping control. Simulation results show that the robustness and performance of the proposed centralized controller are almost identical to those of the controller designed by H<inf>∞</inf> loop shaping method. However, because of the complicated controller in the conventional design, the proposed approach offers a significant improvement in practical control viewpoints by simplifying the controller structure, reducing the controller order and still retaining the robust performance. Simulation results also demonstrate that the proposed approach is numerically efficient and leads to performance comparable to that of previously published methods.
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Design of robust SVC for voltage control in an isolated wind-diesel hybrid power system
(2008-10-06)
Vachirasricirikul, S.
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Ngamroo, I.
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Kaitwanidvilai, S.
This paper focuses on a new robust control design of Static Var Compensator (SVC) for voltage control in an isolated wind-diesel hybrid power system. The proposed method is based on the H<inf>∞</inf> loop shaping technique and genetic algorithm (GA). The structure of the controller is a proportional integral (PI) controller with single input. In the design, system uncertainties are modeled by a normalized coprime factorization. The performance and robust stability conditions of the designed system satisfying the H<inf>∞</inf> loop shaping are formulated as the objective function in the optimization problem. The GA is applied to solve an optimization problem and to achieve control parameters. Simulation studies show the effectiveness and robustness of the proposed method. © 2008 IEEE.

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