An adaptively fast fuzzy fractional order PID control for pumped storage hydro unit using improved gravitational search algorithm

Xu, Yanhe; Xue, Xiaoming; Fu, Wenlong; Zhu, Weijie; Li, Chaoshun

doi:10.1016/j.enconman.2015.12.049

Cited by 124 publications

(74 citation statements)

References 34 publications

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“…However, premature phenomenon and local convergence are still common obstacles to the performance of these stochastic searching algorithms. Bacterial-foraging chemotaxis gravitational search algorithm (BCGSA) is enhanced by Pbest-Gbest-guided movement, adaptive elastic-ball method and chemotaxis operator strategy of bacterial-foraging algorithm [27]. Global exploration and local exploitation performance of BCGSA have been proved by ref [27].…”

Section: Of 26mentioning

confidence: 99%

“…Bacterial-foraging chemotaxis gravitational search algorithm (BCGSA) is enhanced by Pbest-Gbest-guided movement, adaptive elastic-ball method and chemotaxis operator strategy of bacterial-foraging algorithm [27]. Global exploration and local exploitation performance of BCGSA have been proved by ref [27]. Inspired by the NSGA-II, EMOBCGSA has been introduced to deal with the OGVCS by reconstructing the optimal structure and mechanism.…”

Section: Of 26mentioning

confidence: 99%

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Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Zhou¹,

Xu²,

Zheng³

et al. 2017

Preprint

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Abstract：The optimization of guide vane closing schemes (OGVCS) of pumped storage hydro unit (PSHU) is the research field of cooperative control and optimal operation of pumped storage, wind power and solar power generation. This paper presents a OGVCS model of PSHU considering the rise rate of the unit rotational speed and the specific node pressure of each hydraulic unit, as well as various complicated hydraulic and mechanical constraints. OGVCS model is formulated as a multi-objective optimization problem to optimize conflictive objectives, i.e., unit rotational speed and water hammer pressure criteria. In order to realize the efficient solution of the OGVCS model, an enhanced multi-objective bacterial-foraging chemotaxis gravitational search algorithm (EMOBCGSA) is proposed to solve this problem, which adopts population reconstruction, adaptive selection chemotaxis operator of local searching strategy and Elite archive set to efficiently solve the multi-objective problem. Especially, novel constraints-handling strategy with eliminating and local search based on violation ranking is used to balance various hydraulic and mechanical constraints. Finally, simulation cases of complex extreme operating conditions (i.e., load rejection and pump outage) of 'single tube-double units' type PSHU system are conducted to verify the feasibility and effectiveness of the proposed EMOBCGSA in solving OGVCS problem. The simulation results indicate that the proposed EMOBCGSA can provide lower rise rate of the unit rotational speed and smaller water hammer pressure than other method established recently while considering various complex constraints in OGVCS problem.Keyword: pumped storage hydro unit; guide vane closing schemes; multi-objective optimization; enhanced multi-objective bacterial-foraging chemotaxis gravitational search algorithm (EMOBCGSA); hydraulic and mechanical constraints

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Section: Of 26mentioning

confidence: 99%

Section: Of 26mentioning

confidence: 99%

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Zhou¹,

Xu²,

Zheng³

et al. 2017

Preprint

Self Cite

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show abstract

“…Here, considering the constraints of the experiment, we choose the steady-state error at 100 s. The specific description is shown in Figure 12. (20) amax is the relative value of the peak speed, ts called the start-up time is the corresponding time when the relative value of the speed reaches rated relative speed 1 and the steady-state error means the deviation of the actual rotational unit speed and rated relative speed 1 that can't be eliminate. Here, considering the constraints of the experiment, we choose the steady-state error at 100 s. The specific description is shown in Figure 12.…”

Section: Objective Functionmentioning

confidence: 99%

An Integrated Start-Up Method for Pumped Storage Units Based on a Novel Artificial Sheep Algorithm

Wang

Lai

et al. 2018

Energies

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Pumped storage units (PSUs) are an important storage tool for power systems containing large-scale renewable energy, and the merit of rapid start-up enable PSUs to modulate and stabilize the power system. In this paper, PSU start-up strategies have been studied and a new integrated start-up method has been proposed for the purpose of achieving swift and smooth start-up. A two-phase closed-loop startup strategy, composed of switching Proportion Integration (PI) and Proportion Integration Differentiation (PID) controller is designed, and an integrated optimization scheme is proposed for a synchronous optimization of the parameters in the strategy. To enhance the optimization performance, a novel meta-heuristic called Artificial Sheep Algorithm (ASA) is proposed and applied to solve the optimization task after a sufficient verification with seven popular meta-heuristic algorithms and 13 typical benchmark functions. Simulation model has been built for a China's PSU and comparative experiments are conducted to evaluate the proposed integrated method. Results show that the start-up performance could be significantly improved on both indices on overshoot and start-up, and up to 34%-time consumption has been reduced under different working condition. The significant improvements on start-up of PSU is interesting and meaning for further application on real unit.

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“…At present, the control method commonly used in water turbine control system mainly includes the following: nonlinear control [4][5][6][7], sliding mode control [8][9][10], PID control [11][12][13], fuzzy control [14], fault tolerant control [15], predictive control [16,17], and finite-time control [18]. These control methods have important theoretical and practical significance for the control of hydraulic turbine governing system, but they also have their own defects.…”

Section: Introductionmentioning

confidence: 99%

Fixed-Time Stability of the Hydraulic Turbine Governing System

Liu

Zhang

et al. 2018

Mathematical Problems in Engineering

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This paper studies the problem of fixed-time stability of hydraulic turbine governing system with the elastic water hammer nonlinear model. To control and improve the quality of hydraulic turbine governing system, a new fixed-time control strategy is proposed, which can stabilize the water turbine governing system within a fixed time. Compared with the finite-time control strategy where the convergence rate depends on the initial state, the settling time of the fixed-time control scheme can be adjusted to the required value regardless of the initial conditions. Finally, we numerically show that the fixed-time control is more effective than and superior to the finite-time control.

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An adaptively fast fuzzy fractional order PID control for pumped storage hydro unit using improved gravitational search algorithm

Cited by 124 publications

References 34 publications

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

Optimization of Guide Vane Closing Schemes of Pumped Storage Hydro Unit Using an Enhanced Multi-Objective Gravitational Search Algorithm

An Integrated Start-Up Method for Pumped Storage Units Based on a Novel Artificial Sheep Algorithm

Fixed-Time Stability of the Hydraulic Turbine Governing System

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