Nonlinear ${\cal H}_{\infty }$ Constrained Feedback Control for Grid-Interactive WECS Under High Stochasticity

Muhando, B. E.; Wies, Richard

doi:10.1109/tec.2011.2164797

Cited by 12 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bacterial forging optimization (BFO) is designed in [28]. H ∞ control has been applied to control the pitch angle, as in [29,30]. The differential evaluation algorithm technique is used for tuning the PI pitch controller in [31,32].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

View full text Add to dashboard Cite

Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind-diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional-integral-differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind-diesel hybrid system. The proposed MBA-SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA-SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Among the renewable sources, wind energy is one of the most rapidly growing renewable power source [2]. Wherever the wind speed exceeds approximately 6 m/s there are possibilities for exploiting it economically, depending on the costs of competing power sources [3].…”

Section: Introductionmentioning

confidence: 99%

“…During the high wind turbulence, PI controller is not ideal. The adaptive controllers such as fuzzy and LQG, the parameters adjustment of these controllers are computationally expensive [3]. Therefore, taking into account of the power producing capacity of the modern WECS (2-5 MW), the high turbulence wind velocities, and the parameter uncertainties, the researchers have prompted to interest in the robust control concepts (e.g., H 2 or H ∞ controllers).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, taking into account of the power producing capacity of the modern WECS (2-5 MW), the high turbulence wind velocities, and the parameter uncertainties, the researchers have prompted to interest in the robust control concepts (e.g., H 2 or H ∞ controllers). In particular, the robust H ∞ controller formulation for the WECS is adopted in [3,[14][15][16][17], to improve the performance at the high turbulence wind velocities, or parameter uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…In [3,14,15], the H ∞ control systems design for the DFIGs. The control performance evaluates in a few parameters within the rated wind speed and some short variations of the rated wind speed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

et al. 2013

View full text Add to dashboard Cite

A digital H ∞ controller for a permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) is presented. Wind energy is an uncertain fluctuating resource which requires a tight control management. So, it is still an exigent task for the control design engineers. The conventional proportional-integral (PI) control is not ideal during high turbulence wind velocities, and the nonlinear behavior of the power converters. These are raising interest towards the robust control concepts. The robust design is to find a controller, for a given system, such that the closed-loop system becomes robust that assurance high-integrity and fault tolerant control system, robust H ∞ control theory has befallen a standard design method of choice over the past two decades in industrial control applications. The robust H ∞ control theory is also gaining eminence in the WECS. Due to the implementation complexity for the continuous H ∞ controller, and availability of the high speedy micro-controllers, the design of a sample-data or a digital H ∞ controller is very important for the realistic implementation. But there isn't a single research to evaluate the performance of the digital H ∞ controller for the WECS. In this paper, the proposed digital H ∞ controller schemes comprise for the both generator and grid interactive power converters, and the control performances are compared with the conventional PI controller and the fuzzy controller. Simulation results confirm the efficacy of the proposed method Energies 2013, 6 2085 which are ensured the WECS stabilities, mitigate shaft stress, and improving the DC-link voltage and output power qualities.

show abstract

Design of a robust controller for DC/DC converter–electrolyzer systems supplied by μWECSs subject to highly fluctuating wind speed

Alonge

Collura

D’Ippolito

et al. 2020

Control Engineering Practice

View full text Add to dashboard Cite

Nonlinear ${\cal H}_{\infty }$ Constrained Feedback Control for Grid-Interactive WECS Under High Stochasticity

Cited by 12 publications

References 14 publications

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

Design of a robust controller for DC/DC converter–electrolyzer systems supplied by μWECSs subject to highly fluctuating wind speed

Contact Info

Product

Resources

About