The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Fractional frequency transmission system (FFTS) is utilized to transmit large-scale and remote wind power. By adopting a lower frequency (50/3 Hz), FFTS could reduce the electric distance of transmission lines, thus lowering the transmission loss. In order to analyze the interconnected system of FFTS and main grid, the power flow calculation should be conducted. This paper introduces a new method...
This paper studies the Australian market conditions and subsidies in place to promote the growth of wind power through the use of a stochastic linear programming model. This model optimizes the profit obtained for a static investment based on a variety of wind and price scenarios. It is subject to different constraints which focus on the amount of initial capital injected by an investor, selling power...
Forecasting the output of wind energy plants over many months is problematic because of the unpredictability of the weather. Usually, a large proportion of conventional generation must be standing by as reserve capacity in case the weather is not conducive to that type of renewable technology. A possible solution is to operate in conjunction different types of renewables. For instance, during stormy...
Accurate forecasting for "net load", i.e., the difference between the renewable generations and loads, are important for economical and secure dispatch of power systems. Of course, it is significant to ensure sufficient levels of ancillary service, in particular regulation service. Previously, wind power, photovoltaic generation (PV) and loads are forecasted separately. In contrast, in this...
Energy Storage Systems (ESS) provide a solution allowing higher levels of Renewable Energy (RE) integration into electricity systems, as the intermittency of RE power output can be addressed with storage solutions. This paper evaluates the value propositions of commercially available ESS for wind farms in Australia, focusing on power applications as a relevant market segment of the energy storage...
As is well known, the anti-peaking characteristic of wind generation leads to evident curtailments of wind farms. With high energy density and flexible installation position, the battery energy storage system (BESS) can provide a new routine to relax the bottleneck of the peak-load regulation, conducive to the absorption of wind power and the economy of system operation. Therefore, with taking account...
This paper studies reliability benefits of wind energy in two different systems in Australia: New South Wales and Victoria. Reliability assessment has been conducted in generation system level and a time dependent clustering method is applied to model wind power. This technique not only can capture time dependent attributes of wind energy, but also is capable of keeping the correlations between wind...
Voltage stability is an important issue to be considered in power system with large scale wind power integration. The mechanism of transient voltage instability induced by wind power is studied. A variable speed wind turbine can control the power rapidly and flexibly with power electronic convertors. The fast dynamics related to power electronic control transients can be neglected, and the wind power...
Analysis of wind speed fluctuation characteristics is very important for the study of the dynamic process of power system with wind power and the long-term economic scheduling of wind farm. This study aims to establish a wind speed model which reflects the wind speed fluctuation characteristics. The stochastic partial differential equation is applied to simulate wind speed and its variation. Using...
This paper proposes a wind power forecasting model based on the empirical mode decomposition (EMD) and the support vector machine (SVM). In this model, the EMD is used to decompose wind power sequence into several intrinsic mode functions (IMF) and a residual component. Then, the SVM is used to train each component for the optimal parameters and kernel function. Finally, sum the prediction results...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.