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Robust power oscillation damper design for DFIG-based wind turbine based on specified structure mixed H2/H∞ control
(2014-01-01)
Surinkaew, Tossaporn
;
Ngamroo, Issarachai
As the integration of a doubly fed induction generator (DFIG)-based wind power generation into power systems tends to increase significantly, the contribution of DFIG wind turbine is highly expected. Since the active and reactive power outputs of DFIG can be independently modulated, the stabilizing effect of DFIG on the inter-area power system oscillation is a challenging issue. This paper proposes a new robust control design of power oscillation damper (POD) for a DFIG-based wind turbine using a specified structure mixed H<inf>2</inf>/H<inf>∞</inf> control. The POD structure is a practical 2nd-order lead-lag compensator with single input. Normally, H<inf>∞</inf> control mainly enforces the closed-loop stability while noise attenuation or regulation against random disturbances is expressed in H<inf>2</inf> control. As a result, the mixed H<inf>2</inf>/H<inf>∞</inf> control gives a powerful multi-objective control design so that both closed-loop stability and performance of designed controller can be guaranteed. Here, the linear matrix inequality is applied to formulate the optimization problem of POD based on a mixed H<inf>2</inf>/H<inf>∞</inf> control. The POD parameters are optimized so that the performance and robustness of the POD against system disturbances and uncertainties are maximal. The firefly algorithm is automatically applied to solve the optimization problem. Simulation study in a two-area four-machine interconnected power system shows that the DFIG with robust POD is superior to conventional POD in terms of stabilizing effect as well as robustness against various power generating and loading conditions, unpredictable network structure, and random wind patterns. © 2013.
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Specified structure mixed H2=H∞ control-based robust frequency stabilization in a smart grid by plug-in hybrid electric vehicles
(2013-01-16)
Ngamroo, Issarachai
In the future smart grid, the penetration of wind power tends to increase significantly. This may cause the tie-line power and frequency fluctuations in the power grid. On the other hand, the plug-in hybrid electric vehicles (PHEV) are highly expected to be installed in the customer side. The bidirectional power control of PHEV can be applied to stabilize the power and frequency fluctuations. This paper proposes the specified structure mixed H<inf>2</inf>=H<inf>∞</inf> control design of bidirectional power controller of PHEV for robust frequency stabilization of the smart grid with large wind farms. System uncertainties are represented by the multiplicative perturbation model. The structure of power controller is specified as a proportional integral (PI) with single input. The PI parameters optimization problem is formulated based on the enhancement of control performance and robustness against system uncertainties. Without the difficulty of weighting functions selection as in a mixed H<inf>2</inf>=H<inf>∞</inf> control, the PI parameters are automatically tuned by particle swarm optimization. Simulation results confirm that the proposed robust controller is much superior to the conventional controller in terms of control performance and robustness against various uncertainties. © 2013 ICIC International.
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PSO-based specified structure mixed H2/H∞ multiple PHEV controllers for robust frequency control in interconnected power systems with large wind farms
(2013-01-16)
Rattanapornchai, Chalotorn
;
Ngamroo, Issarachai
This paper focuses on the new robust control design of multiple plug-in hybrid electric vehicle (PHEV) units for frequency control in interconnected power systems with large wind farms. The controller structure of PHEV is specified as a proportional integral (PI). Unstructured system uncertainties such as various wind patterns, system parameters variation, are modeled by the inverse output multiplicative perturbation. The particle swarm optimization is applied for tuning the PI parameters for all PHEV units based on the mixed H<inf>2</inf>/H<inf>∞</inf> control approach. Simulation results confirm the superior performance and robustness of the proposed PHEV controller. © 2013 ISSN 1881-803X.
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Bidirectional power controller design of PHEV for robust frequency control
(2012-06-12)
Ngamroo, Issarachai
;
Rattanapornchai, Chalotorn
This paper presents a bidirectional power controller design of plug-in hybrid electric vehicle (PHEV) for robust frequency control in the two-area interconnected power system with wind farms. The controller structure is a proportional integral (PI). System uncertainties such as various wind patterns, system parameters variation etc., are modeled by the inverse output multiplicative perturbation. The particle swarm optimization is applied for tuning the PI parameters based on the mixed H2/H∞ control technique. Simulation results confirm the superior performance and robustness of the proposed controller.

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