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Coordinated PHEV, PV, and ESS for Microgrid Frequency Regulation Using Centralized Model Predictive Control Considering Variation of PHEV Number
(2018-01-01)
Pahasa, J.
;
Ngamroo, I.
The integration of plug-in hybrid electric vehicles (PHEVs), photovoltaic (PV) generators, and energy storage systems (ESSs) into microgrids is highly anticipated. A coordinated control of PHEVs, PVs, and ESS will support frequency control in a microgrid. However, the size of the ESS depends on the surplus power of PV. The lower the surplus power is, the smaller the size of ESS. Furthermore, the number of available PHEVs vary with the cumulative number of the participating PHEVs. This variation of the number of PHEVs may reduce the PHEVs' control effect in the microgrid. This paper proposes a coordinated control of PHEVs, PVs, and ESSs for frequency control in the microgrid using a centralized model predictive control (CMPC) considering the variation of PHEV numbers. The objectives of the coordinated control are: 1) to suppress the system frequency fluctuation and 2) to minimize the surplus power of PV and, therefore, reduce the size of ESS. Simulation studies indicate that the coordinated control of PHEVs, PVs, and ESSs by the proposed CMPC is superior to that of the proportional integral derivative control and the distributed MPC in terms of minimizing the frequency fluctuation, the PV surplus power, and the ESS size.
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Adaptive thyristor controlled series capacitor using particle swarm optimization and support vector regression
(2012-01-01)
Pahasa, J.
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Hongesombut, K.
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Ngamroo, I.
This paper focuses on the application of support vector regression (SVR) to design of an adaptive thyristor controlled series capacitor (TCSC). A particle swarm optimization (PSO) is used to optimize the SVR parameters based on k-fold cross-validation technique. The SVRs for an adaptive TCSC are trained by the data obtained from a multi-machine power system, and the optimal SVR parameters. The TCSC parameters can be adapted by various operating conditions. Simulation results in a two-area four-machine interconnected power system demonstrate that the proposed SVRs for an adaptive TCSC is much superior to the conventional TCSC with fixed parameters under various operating conditions and severe disturbances. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.
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Stabilization of microgrid with intermittent renewable energy sources by SMES with optimal coil size
(2011-11-01)
Saejia, M.
;
Ngamroo, I.
It is well known that the superconducting coil is the vital part of a superconducting magnetic energy storage (SMES) unit. This paper deals with the power controller design of a SMES unit with an optimal coil size for stabilization of an isolated microgrid. The study microgrid consists of renewable energy sources with intermittent power outputs i.e., wind and photovoltaic. Since power generations from such renewable sources are unpredictable and variable, these result in power fluctuations in a microgrid. To stabilize power fluctuations, a SMES unit with a fast control of active and reactive power can be applied. The structure of a power controller is the practical proportional-integral (PI). Based on the minimization of the variance of power fluctuations from renewable sources as well as the initial stored energy of SMES, the optimal PI parameters and coil size are automatically and simultaneously tuned by a particle swarm optimization. Simulation studies show that the proposed SMES controller with an optimal coil size is able to effectively alleviate power fluctuations under various power patterns from intermittent renewable sources. © 2011 Elsevier B.V. All rights reserved.
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Weight optimization and structurespecified robust h∞loop-shaping control of apneumatic servo system using genetic algorithm
(2010-01-01)
Kaitwanidvilai, S.
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Olranthichachat, P.
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Ngamroo, I.
H∞ loop-shaping (HLS) is a feasible method for designing a robust controller; however, the controller designed by this method is usually complicated with high order. To overcome this problem, we propose a new design technique, weight selection and structurespecified HLS control using genetic algorithms (GAs), to design a robust controller. In the proposed technique, both the performance weight and structures-specified robust loop-shaping controllerare simultaneously determined by GA. The performance and robust stability conditions of the designed system satisfying the HLS are formulated as the objective function in the optimization problem. The designed controller contains simple structure with lower order and still retains the robustness and performance specification. As shown in the simulation results, the robustness and performance of the proposed controller are almost identical to those of the controller designed by HLS method and the proposed technique leads to performance comparable to that of the reduced-order controller. Experiments on the pneumatic actuators of a pneumatically actuated robot are performed to verify the effectiveness of the proposed technique.
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Design of optimal fuzzy logic-PID controller using bee colony optimization for frequency control in an isolated wind-diesel system
(2009-12-16)
Chaiyatham, T.
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Ngamroo, I.
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Pothiya, S.
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Vachirasricirikul, S.
Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper proposes the optimal FLPID controller design using bee colony optimization (BCO) for the load frequency control in the microglia system. The considered microgrid is the hybrid wind-diesel isolated system. The BCO is applied to automatically optimize the FLPID controllers of governor in the diesel side and blade pitch control in the wind side. Simulation studies show the superior robustness of the optimal FLPID against system parameters variation in comparison with the optimal PID controller and the non-optimal FLPID controller.
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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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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 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.
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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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