Improved gravitational search algorithm for parameter identification of water turbine regulation system

Chen, Zhihuan; Yuan, Xiao; Tian, Hao; Ji, Bin

doi:10.1016/j.enconman.2013.10.060

Cited by 121 publications

(73 citation statements)

References 35 publications

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“…Researchers in this field have proposed many nonlinear analysis methods, such as: bifurcation analysis method [15,22], improved particle swarm optimization (PSO) algorithm [23], deterministic chaotic genetic evolutionary algorithm [24,25], linear quadratic (LQ) control method [26], continuous pressure condensation regulation method [27], improved parameter gravity search method [28], parameter identification [29], and nonlinear predictive control [30]. Among them, Hopf bifurcation relates to a type of relatively simple yet important bifurcation problems in nonlinear dynamic systems.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear modeling and stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel under load disturbance

Guo

Yang

Wang

et al. 2015

Energy Conversion and Management

113

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Section: Introductionmentioning

confidence: 99%

Nonlinear modeling and stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel under load disturbance

Guo

Yang

Wang

et al. 2015

Energy Conversion and Management

113

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“…Invoke the adaptive elastic-ball program ( formula (20) ) to handle the new position which is against the boundary. Besides, there are few rest agents against the boundary whose position will be reset by formula (21) [36].…”

Section: Overview Of Bcgsamentioning

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

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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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“…Error of the system can be written as ( ) = ( ) − ( ), and control signal of FOPID is described as (5) according to (2)- (4):…”

Section: Implementation Of Fractional Ordermentioning

confidence: 99%

“…So it is necessary to obtain excellent performance through reasonable control methods. Conventional PID (or IOPID) has long been the most common used controller in HTGS for its simplicity and ease of implementation [2,3] in execution. However, there is no guarantee that such controllers would provide the best dynamical response under some realistically constrained conditions [4].…”

Section: Introductionmentioning

confidence: 99%

Fractional Order Controller Designing with Firefly Algorithm and Parameter Optimization for Hydroturbine Governing System

Chen

2015

Mathematical Problems in Engineering

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A fractional order PID (FOPID) controller, which is suitable for control system designing for being insensitive to the variation in system parameter, is proposed for hydroturbine governing system in the paper. The simultaneous optimization for several parameters of controller, that is, , , , , and , is done by a recently developed metaheuristic nature-inspired algorithm, namely, the firefly algorithm (FA), for the first time, where the selecting, moving, attractiveness behavior between fireflies and updating of brightness, and decision range are studied in detail to simulate the optimization process. Investigation clearly reveals the advantages of the FOPID controller over the integer controllers in terms of reduced oscillations and settling time. The present work also explores the superiority of FA based optimization technique in finding optimal parameters of the controller. Further, convergence characteristics of the FA are compared with optimum integer order PID (IOPID) controller to justify its efficiency. What is more, analysis confirms the robustness of FOPID controller under isolated load operation conditions.

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Improved gravitational search algorithm for parameter identification of water turbine regulation system

Cited by 121 publications

References 35 publications

Nonlinear modeling and stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel under load disturbance

Nonlinear modeling and stability analysis of hydro-turbine governing system with sloping ceiling tailrace tunnel under load disturbance

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

Fractional Order Controller Designing with Firefly Algorithm and Parameter Optimization for Hydroturbine Governing System

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