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Wind energy is variable and intermittent in nature. The variations in wind speed results in a stochastic output for wind turbines. Therefore, the peak generation of wind farms and peak load demand typically do not occur at the same time. This paper studies a wind farm integrated with an energy storage device at turbine level in order to shift the wind power generation to the peak demand periods. A...
The paper deals with the power management of a Wind Power System Network (WPSN) in urban environment, where usually fluctuating wind speed profiles are encountered. Several different control strategies are considered and applied to distinct scenarios. The WPSN is connected to the main grid and the goal is to verify the possibility of a power sharing optimization between the generators and the grid...
This paper introduces the use of integrated Wind Power Plant and HVdc link control for the connection of off-shore wind farms to multi-terminal HVdc links. Connection to both multi-terminal VSC-HVdc and to LCC-HVdc links is considered. WPP connection using a diode rectifier station for the aforementioned scenarios is validated by means of detailed PSCAD simulations, including the HVdc links and a...
A transformerless wind power generator concept with the potential to achieve 100 kV DC output is introduced in this work. The work is presented in two papers. Part I: The Generator, describes the electrical machine properties of the special, 10 MW generator. This part, Part II, presents a modular AC/DC-converter system suitable for this wind turbine drive train solution. A conceptual description of...
The provision of a financial product for renewable energy requires that the return of the financial product be determined based on the portion of risk it holds. Accurately modeling the risk becomes essential in order to achieve higher penetration of renewable energy in markets. This paper combines the effect of the various types of risks, and shows that the overall risk of renewable energy is not...
The thermal cycling of power switching devices may lead to failures that compromise the reliability of power converters. Wind Turbine Systems (WTS) are especially subject to severe thermal cycling which may be caused by the wind speed variations or power grid faults. This paper proposes a control method to relieve the thermal cycling of power switching devices under severe wind speed variations, by...
The Transmission System Operators are specially concerned about the Low Voltage Ride Through requirements of distributed generation power plants. Solutions based on the installation of STATCOMs and DVRs, as well as on advanced control functionalities for the existing power converters have contributed to enhance their response under faulty and distorted scenarios, and hence to fulfill these requirements...
In order to fulfill the continuous growing grid-side demands, the full-scale power converters are becoming more and more popular in the wind power application. Nevertheless, the more severe loading of the power semiconductor devices in the full-scale power converters, especially during Low Voltage Ride Through (LVRT) operation under grid faults, may compromise the reliability of the system and consequently...
This paper investigates control algorithms for a doubly fed induction generator with a back-to-back three-level neutral-point clamped voltage source converter in medium voltage wind power system under unbalanced grid conditions. Three different control algorithms to compensate for unbalanced conditions have been investigated with respect to four performance factors; fault ride-through capability,...
The wind power system based on doubly fed induction generator (DFIG) has become the most popular and widely used in recent years. However, the system is very sensitive to the grid voltage dips, so its low voltage ride-through (LVRT) capability required by grid codes is a challenging problem. In this paper, the LVRT problem for asymmetrical voltage dips is studied. The theoretical analysis shows that...
This paper introduces a method of short term wind power prediction for a wind power plant by training neural networks based on historical data of wind speed and wind direction. There are two steps in the process of wind power prediction. In the first step, raw data collected by plant information system is filtered by probabilistic neural network. This step prepares valid data to be used for building...
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