Which optimization methods are used in wind turbine performance optimization?
From the research papers that we have examined, the main optimization methods used in the performance optimization of wind turbine can be categorized into two: Gradient based approach methods (GBA). Meta-Heuristic methods (genetic algorithm GA, particle swarm optimization PSO).
What are the optimization problems in a wind turbine?
In this review, the optimization problems are structured as follows: airfoil shape optimization, wind turbine blade performance optimization (the shape of the airfoil is fixed and the design variables are limited to the blade) and wind turbine optimization (the wind turbine is fully modeled) and they are listed in Section 5.
Why is optimization important in wind turbine design?
The choice of the optimization algorithm is central in wind turbine performance optimization because the final results depend on the specific algorithm in terms of accuracy and local minima sensitivity. Throughout the years, the algorithms used to solve optimization problems in wind turbine design have evolved.
How to optimize the aerodynamic performance of a wind turbine?
Although the most popular objective for the current wind turbine optimization is minimization of the cost of energy, some trends are directed toward optimizing the aerodynamic performance of a wind turbine by either: 1. Maximization of the power production at a fixed wind speed. 2. Maximization of the AEP for a given wind distribution.
Can intelligent algorithms improve wind turbine control?
Intelligent Algorithms are recognized as powerful optimization tools, they are widely applied in MPPT (maximum power point tracking) control of wind turbines. Research has shown that control strategies optimized through intelligent algorithms significantly enhance the performance and efficiency of wind turbine systems [21, 22].
What are the characteristics of performance optimization of wind turbines?
In the case of performance optimization of wind turbine, there are both continuous (e.g. chord, twist, pitch, yaw etc.) and discontinuous (number of blades, airfoil family etc.). Likewise, the design variables are interdependent; implicating that they have competing objectives within the metric of cost of energy.
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Review of Wind Power Grid Connection Technology
For the problems in wind power grid connection, they have formulated corresponding solutions and optimization measures, strengthened technological innovation, ... E., Yazar, M.D.: Analysis of grid connected wind power system. In: 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA), pp. 869–873. IEEE (2019)
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This paper presents a review of the optimization techniques and strategies applied to wind turbine performance optimization. The topic is addressed by identifying the most …
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To capture steady and powerful wind resources, wind turbines tend to be more remotely located with increasingly larger scales. This requires more sophisticated wind farm (WF) planning …
Learn More →Intelligent design and optimization of wind turbines
Recent approaches in the literature have covered many aspects of the optimization of WTs [4], such as the optimization of the blade shape [5], the optimization of the wind farm [6], maintenance planning [7], and cost optimization [8] addition, due to the complexity of WT systems and their nonlinear and fully coupled aero-hydro-servo-elastic behavior, physics …
Learn More →Optimization of wind turbine energy and power factor with …
An evolutionary computation approach for optimization of power factor and power output of wind turbines is discussed. Data-mining algorithms capture the relationships among the power output, power factor, and controllable and non-controllable variables of a 1.5 MW wind turbine. An evolutionary strategy algorithm solves the data-derived optimization model and …
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The research proposes a control strategy called AGC OPI for wind power systems that focuses on frequency and inertia control. The proposed strategy employs a weighted Grey Wolf Optimization (WGWO) algorithm that is integrated with a Proportional-Integral (PI) …
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This review discusses various operational control strategies for wind turbines and compares these methods. The goal of this research is to serve as a comprehensive reference for future studies …
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using Condition Monitoring Systems for Maintenance Management of Wind Power Systems", In proc. of IEEE conference PMAPS 2010, Singapore, 14-17 June 2010. II. F. Besnard and L. Bertling, "An Approach for Condition-Based Maintenance Optimization Applied to Wind Turbine Blades", IEEE Transaction on Sustainable Energy, 1(2):77-83, 2010 III.
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According to the Global Wind Report 2021 published by the Global Wind Energy Council [6], some 93 GW of new wind power (WP) installations were built in 2020 (as shown in Fig. 1 (a)), a growth of 53% compared to 2019. This brought the total installed capacity of WP to 743 GW in 2020, a 14.3% growth from the previous year [6].Based on data from Renewable …
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Offshore Wind Power Systems (OWPS) offer great energy and environmental advantages, but also pose significant Operation and Maintenance (O&M) challenges. In this survey, we analyze these challenges and propose some optimization strategies and technologies for OWPS comprehensively. The existing literature review mainly focuses on a certain field of …
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The optimization of system sizing and very short-term generation scheduling are the key points affecting system effectiveness and reliability of wind power. This paper proposes a novel real-time model prediction control (MPC) -multi objective cross entropy (MOCE) based energy management algorithm (MMEMA) to coordinate an HESS based on power ...
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Energy production throughout the world is transitioning from fossil fuels to renewable sources such as wind power and solar power. This transition has been gradual—over half of the world''s electricity is still produced by coal, …
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Chen et al. [26] used the importance measure to develop a maintenance optimization strategy for the pod slewing system. Lu et al. [27] proposed an opportunistic maintenance strategy based on an adaptive maintenance window for multi-objective optimization. Chen et al. [28] proposed two types of maintenance costs considering failure-triggered and ...
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Generally, there are three main models for describing wind power uncertainty according to the different processing modes used for wind power in scheduling power systems: fuzzy optimization, stochastic optimization, and robust optimization models [9], [10], [11].The fuzzy optimization model regards wind power with uncertainty as a fuzzy number, and decision …
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A significant mismatch between the total generation and demand on the grid frequently leads to frequency disturbance. It frequently occurs in conjunction with weak protective device and system control coordination, inadequate system reactions, and insufficient power reserve [8].The synchronous generators'' (SGs'') rotational speeds directly affect the grid …
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In this paper, 135 highly relevant publications from mainstream databases are reviewed and systematically analyzed. On this basis, control problems for offshore wind power systems focus on wind turbine control and …
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The intermittency and uncertainty of wind power make system operation complex and variable. This tends to cause problems such as the overloading of the transmission line.
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These systems can be installed in different places according to the available RESs on-site. Usually, the production pattern of one source helps to counteract the production pattern of another one [8]. That is the case of solar photovoltaic (PV) power and wind power, the topics at hand in this study.
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Calculation and optimization of inter-regional available transfer capability considering wind power uncertainty and system improvement measures Wenli Liu, Tao Zhang, Xiaolei Yang, ... wind power''s stochastic characteristics ... particle swarm optimization algorithm Published in Frontiers in Energy Research
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Electric power systems and the companies and customers that interact with them are experiencing increasing levels of uncertainty due to factors such a…
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Learn More →Advances in model predictive control for large-scale wind power ...
The actual wind power system control process involves multiple uncertainties (such as meteorological conditions, artificial conditions, and models); these uncertainties are always affected by unknown factors in advance, and a deviation between the established model and the actual wind power output inevitably occurs [17]. Unlike thermal and ...
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Wind energy is one of the most promising clean and renewable energy sources with a total 2–6 TW equivalent amount of globally extractable wind power that can satisfy current global electricity consumption of around 2.3 TW [1].Although fossil fuels are supplying the majority of energy demand worldwide, it is desired to continuously develop and deploy environmentally …
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The main objective of this work is to provide novel approaches to increase the energy output of solar photovoltaic (PV) and wind power systems by optimizing land utilization, while considering relevant parameters. The optimization of both technologies has been accomplished by simulations and statistical correlations.
Learn More →A review of short-term wind power generation forecasting …
Methods for forecasting wind energy production can be classified in various ways. It is possible to classify them based on the time frame of the forecasts, the structure of the forecasting model, the predicted physical value, and the input-output data used (Tawn and Browell, 2022, Meka et al., 2021a).The most commonly used approach in the literature is to …
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This model considered optimizing demand response incentive strategies and measures across different time scales. Simulation analysis confirmed that the designed multi-time scale strategy contributed to improved wind power consumption within the system. ... The day-ahead coordinated optimization of wind power output with high-energy load ...
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This study shows that using wind speed data with coarser temporal resolution significantly underestimates global wind power density (WPD). A calibration method increases …
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