Design of stabilising signals for power system damping using generalised predictive control optimised by a new hybrid shuffled frog leaping algorithm

Bijami, Ehsan; Askari, Javad; Farsangi, Malihe M.

doi:10.1049/iet-gtd.2011.0770

Cited by 27 publications

(15 citation statements)

References 24 publications

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“…Shi [26][27][28]. In Bijami et al's research, stabilizing signals for power system damping using generalized predictive control is designed through a new hybrid shuffled frog leaping algorithm, while in Chun-Feng et al's research, the coordinated control of flexible AC transmission system devices via an evolutionary fuzzy lead-lag control approach is realized under advanced continuous ant colony optimization [29,30]. In Wang et al's investigations, a number of aspects of stability enhancement based on offshore wind farm fed are addressed to deal with a multi-machine system [31,32].…”

Section: Related Workmentioning

confidence: 99%

On transient stability of multi-machine power systems through Takagi–Sugeno fuzzy-based sliding mode control approach

Sharifi

Mazinan

2017

Complex Intell. Syst.

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The present research focuses on transient stability of multi-machine power systems in a full consideration regarding the performances of the Takagi-Sugeno fuzzybased sliding mode control approach in association with the conventional sliding mode and also the optimal control approaches to improve the last finding outcomes in this area. Hereinafter, concerning the robustness of the sliding mode control approach toward parametric uncertainties and environment perturbations, in fact, a couple of different sliding mode control approaches are designed for mutual comparison, after a number of state-of-the-art technique considerations. To increase the control performance, the Takagi-Sugeno fuzzy-based approach is devised to provide the appropriate coefficients. Finally, the three control approaches are all carried out in the six-machine power system under the same condition and the investigated results are correspondingly provided to be analyzed. The results indicate that the proposed fuzzy-based control approach is well behaved with respect to other related ones.

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Section: Related Workmentioning

confidence: 99%

On transient stability of multi-machine power systems through Takagi–Sugeno fuzzy-based sliding mode control approach

Sharifi

Mazinan

2017

Complex Intell. Syst.

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“…Changes of electromagnetic torque and turbine rotor speed are, respectively, shown in Figures 10E and 10F. Active power changes P [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and P [16][17] are shown in Figures 10G and 10H for different time delays. In Figures 10I and 10J, controlled input signals, including V drw and V qrw , are shown for rotor- FIGURE 11 A-J, The response of time-domain simulation for scenario IV side inverter.…”

Section: Scenario III (Operation In Subsynchronous Mode)mentioning

confidence: 99%

“…The model predictive control (MPC) benefits are recently challenged in different references including lack of sensitivity to changes in system parameters, fast dynamic response, and removal of external disturbances . Different strategies ranging from the linear and nonlinear methods have been proposed for predictive control, all of which are based on predictive models . Bijami et al used generalized predictive control to set the input signal to the power system stabilizer.…”

Section: Introductionmentioning

confidence: 99%

Predictive control strategy to improve stability of DFIG-based wind generation connected to a large-scale power system

Bagheri

Jalilvand

2016

Int. Trans. Electr. Energ. Syst.

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Summary The present article aims to improve the small signal stability in a large‐scale network using model predictive control (MPC). The predictive strategy is based on the Laguerre function so as to reduce computational time in MPC and increase precise detection of control signals. This strategy is implemented in such a way to control the active and reactive power on rotor‐side converter (RSC) and increase RSC yield in the presence of uncertainties through application of appropriate switching to inverter. Therefore, static synchronous compensator is used in a way that the reactive power is compensated and by designing a damping controller the interarea oscillations will be reduced in New England large‐scale system. The simulation results were evaluated using MATLAB software in the field of time and frequency under different scenarios. Moreover, the proposed method was compared with conventional MPC and proportional‐integral controller while its superiority to stabilize and reduce the computational time is clearly shown.

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“…17 Recently, SFLA has been widely used for parameters optimizations in engineering fields, 18,19 but there are few literature for controller optimization. Bijami et al 20 formulated a linearized generalized prediction control algorithm as an optimization problem where a new SFLA is employed for optimizing a cost function.…”

Section: Introductionmentioning

confidence: 99%

Modified shuffled frog leaping algorithm optimized control for air-breathing hypersonic flight vehicle

Liang

Zhen

Jiang

2016

International Journal of Advanced Robotic Systems

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This article addresses the flight control problem of air-breathing hypersonic vehicles and proposes a novel intelligent algorithm optimized control method. To achieve the climbing, cruising and descending flight control of the air-breathing hypersonic vehicle, an engineering-oriented flight control system based on a Proportional Integral Derivative (PID) method is designed for the hypersonic vehicle, which including the height loop, the pitch angle loop and the velocity loop. Moreover, as a variant of nature-inspired algorithm, modified shuffled frog leaping algorithm is presented to optimize the flight control parameters and is characterized by better exploration and exploitation than the standard shuffled frog leaping algorithm. A nonlinear model of air-breathing hypersonic vehicle is used to verify the dynamic characteristics achieved by the intelligent flight control system. Simulation results demonstrate that the proposed swarm intelligence optimized PID controllers are effective in achieving better flight trajectory and velocity control performance than the traditional controllers.

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Design of stabilising signals for power system damping using generalised predictive control optimised by a new hybrid shuffled frog leaping algorithm

Cited by 27 publications

References 24 publications

On transient stability of multi-machine power systems through Takagi–Sugeno fuzzy-based sliding mode control approach

On transient stability of multi-machine power systems through Takagi–Sugeno fuzzy-based sliding mode control approach

Predictive control strategy to improve stability of DFIG-based wind generation connected to a large-scale power system

Modified shuffled frog leaping algorithm optimized control for air-breathing hypersonic flight vehicle

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