Nothing Special   »   [go: up one dir, main page]

Tian et al., 2020 - Google Patents

Application of improved whale optimization algorithm in parameter identification of hydraulic turbine at no-load

Tian et al., 2020

Document ID
17354933168234898912
Author
Tian T
Zhao W
Zhen W
Liu C
Publication year
Publication venue
Arabian journal for science and engineering

External Links

Snippet

The accuracy of hydraulic turbine model has a direct influence on controller design and system stability. This paper presents an improved whale optimization algorithm (IWOA) and its application in parameter identification of hydraulic turbine at no-load. In IWOA, two …
Continue reading at link.springer.com (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76Computer aided design [CAD]; Simulation; Modelling
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

Similar Documents

Publication Publication Date Title
Xi et al. A novel multi-agent DDQN-AD method-based distributed strategy for automatic generation control of integrated energy systems
Bose Artificial intelligence techniques in smart grid and renewable energy systems—some example applications
Guha et al. Performance evolution of different controllers for frequency regulation of a hybrid energy power system employing chaotic crow search algorithm
Ali et al. Multi-verse optimizer for model predictive load frequency control of hybrid multi-interconnected plants comprising renewable energy
Tian et al. Application of improved whale optimization algorithm in parameter identification of hydraulic turbine at no-load
CN113872213B (en) Autonomous optimization control method and device for power distribution network voltage
Khadanga et al. A novel sine augmented scaled sine cosine algorithm for frequency control issues of a hybrid distributed two-area power system
Beus et al. Application of an adaptive model predictive control algorithm on the Pelton turbine governor control
Yin et al. Sequential reconfiguration of unbalanced distribution network with soft open points based on deep reinforcement learning
Tabak et al. Levy flight and fitness distance balance-based coyote optimization algorithm for effective automatic generation control of PV-based multi-area power systems
Almasoudi et al. Nonlinear coordination strategy between renewable energy sources and fuel cells for frequency regulation of hybrid power systems
Zheng et al. Deep reinforcement learning based active disturbance rejection load frequency control of multi-area interconnected power systems with renewable energy
Araghi et al. Enhancing the net energy of wind turbine using wind prediction and economic NMPC with high-accuracy nonlinear WT models
Colak et al. Fuzzy logic and artificial neural network based grid-interactive systems for renewable energy sources: a review
Dou et al. Double‐deck optimal schedule of micro‐grid based on demand‐side response
AM et al. Optimal α-variable model-free adaptive barrier function fractional order nonlinear sliding mode control for four area interconnected hybrid power system with nonlinearities
Xu et al. Design of three-stage start-up optimal strategy based on fuzzy fractional-order proportion integration differentiation controller of pumped storage unit under low water head
Liu et al. An AGC dynamic optimization method based on proximal policy optimization
Shahzad et al. Optimal planning of distributed energy storage systems in active distribution networks using advanced heuristic optimization techniques
Shayeghi et al. An online Q-learning based multi-agent LFC for a multi-area multi-source power system including distributed energy resources
Kahraman et al. Multi-objective adaptive guided differential evolution for multi-objective optimal power flow incorporating wind-solar-small hydro-tidal energy sources
Song Optimization technology of hydroelectric power plant unit speed control based on the constriction coefficient-based particle swarm gravitational search algorithm fusion model
Asghar et al. Adaptive neuro-fuzzy algorithm for pitch control of variable-speed wind turbine
CN116384692A (en) Data-driven-based environmental economic dispatching method and system for wind-energy-containing power system
Kumar et al. A comparison of PSO, GA and FA-based PID controller for load frequency control of two-area hybrid power system