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Wind Farm Power Optimization Using Cooperative Game Control Methods
, M.Sc. Thesis Sharif University of Technology ; Nobakhti, Amin (Supervisor)
Abstract
This research studies the application of coopeartive control and game theoretic approaches in the field of wind farm optimization. The conventional (greedy) wind farm control strategy seeks to individually maximize the power of each turbine.However, due to the presence of aerodynamic interactions (wake effect) between turbines, this strategy will not lead to maximum overall farm power. Accordingly, this study formulates the wind farm power optimization problem as an identical interest game which is utilized to deal with cooperative control problems in general, and the wind farm control problem in particular. Two distributed model-free learning algorithms are then applied to obtain the...
A grouped batch means approach to monitor autocorrelated processes
, Article 37th International Conference on Computers and Industrial Engineering 2007, Alexandria, 20 October 2007 through 23 October 2007 ; Volume 1 , 2007 , Pages 580-588 ; 9781627486811 (ISBN) ; Akhavan Niaki, S. T ; Sharif University of Technology
2007
Abstract
In order to monitor auto-correlated processes, many kinds of model-free control charts have been recently proposed based on the methods used in simulation output analysis. However, these control charts always have a restricting assumption that a large volume of observations is available while defects within them are scarce (zero-defect or high-quality processes). In this paper, we develop a new type of model-free unweighted batch means control charts, called grouped batch means (GBM) to monitor autocorrelated processes. In addition to its better performance in some cases, the GBM control chart can be applied not only to high-quality processes but also to all kinds of auto-correlated...
Constrained Multiple Model Predictive Control Design for Offshore Floating Wind Turbines
, M.Sc. Thesis Sharif University of Technology ; Sadati, Nasser (Supervisor)
Abstract
Wind energy is one of the fastest-growing renewable energy sources around the world. Nowadays, the use of offshore wind turbines has increased due to the high and uniform wind at sea, as well as resolving environmental issues such as making noise and sound pollution. Advances in wind energy technology has been effective in wind turbine control systems. Because the offshore wind turbines are affected by the turbulent wind and wave profiles, the control system should be designed to increase the output power quality, as well as alleviating the mechanical loads on different parts of the turbine. In this research, multiple model predictive control method is used to control offshore wind turbines,...
Self constructing emotional learning based intelligent controller (SCELIC)
, Article IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011, 16 March 2011 through 18 March 2011 ; Volume 1 , March , 2011 , Pages 148-153 ; 9789881821034 (ISBN) ; Shouraki, S. B ; Sharif University of Technology
2011
Abstract
The model of emotional masks is a newly developed AI paradigm based on Minsky's model of emotional mind in his recent book "The emotion machine". The model takes a resource management approach toward modeling the mind and views different processes of mind as resources that need to be managed. In the present work an intelligent controller (SCELIC) is developed based on the model of emotional masks. SCELIC is a model free controller which advantages from several learning tasks. Multiple learnings and adaptive structure make it a powerful adaptive and self-learning tool that performs the tasks of system identification and control in parallel. Although the test-bed considered here is a nonlinear...
Multi-Vector Energy Transmission Networks Control Using Game Theory
, M.Sc. Thesis Sharif University of Technology ; Bozorgmehry Boozarjomehry, Ramin (Supervisor)
Abstract
Gas transmission networks play an important role in multi-vector energy networks. Therefore, reliable and efficient control of gas transmission networks with the minimum energy consumption is utmost task and is still an active research area. This work, introduces a distributed, model-free, and game-theoretic approach comprising a simultaneous game followed by a sequential game, to achieve the control objectives in gas transmission networks. The cooperative game approach is adopted for this purpose. In the proposed method two fuzzy inference systems have been used to obtain the payoff of each player in the game of gas transmission network control, the first one has been used to determine the...
Wind farm power output optimization using cooperative control methods
, Article Wind Energy ; 2020 ; Nobakhti, A ; Abdolahi, A ; Sharif University of Technology
John Wiley and Sons Ltd
2020
Abstract
We study the application of cooperative control and game theoretic approaches to wind farm optimization. The conventional (greedy) wind farm control strategy seeks to individually maximize each turbine power. However, this strategy does not maximize the overall power production of wind farms due to the aerodynamic interactions (wake effect) between the turbines. We formulate the wind farm power optimization problem as an identical interest game which can also be used to solve other cooperative control problems. Two model-free learning algorithms are developed to obtain the optimal axial induction factors of the turbines and maximize power production. The algorithms are simulated for a...