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.
This paper proposes a holistic framework for plug-in hybrid electric vehicles (PHEVs) to participate in frequency regulation in a competitive electricity market. It is challenging to use PHEVs as frequency regulation units since conflicts of interests exist among PHEVs, aggregators, and transmission system operator (TSO). PHEVs are also facing various uncertainties from power prices and the available...
A methodology called Intelligent State Space Pruning (ISSP) has recently been developed and applied in order to reduce the computational resources necessary to achieve convergence when using non-sequential Monte Carlo Simulation (MCS). The main application of this algorithm has been the probabilistic evaluation of composite power system reliability. ISSP has been shown to perform differently when...
One methodology that has been previously developed to improve the computational efficiency and convergence of Monte Carlo Simulation (MCS) when computing the reliability indices of power systems is a technique known as state space pruning. This technique works by pruning the state space in such a way that the MCS samples a state space that has a higher density of failure states than the original state...
Genetic algorithm (GA) has shown its promise in dealing with reliability evaluation of complex power systems. However, it may be computationally expensive due to its stochastic search mechanism coupled with the problem complexity. Especially, when each system state needs a load flow calculation to determine its status, the reliability evaluation process may take a long time. Parallel computation is...
Monte Carlo simulation (MCS) is very useful in adequacy evaluation of complex power systems. However, it may be time-consuming when power flow analysis is needed to determine the status of each system state. In this study, we combine Monte Carlo simulation and artificial immune recognition system (AIRS), an effective classifier for imbalanced data set, in order to expedite the state evaluation process...
More and more wind power is being integrated into power grids in recent years. However, due to its intermittent characteristic, it is usually difficult to determine the appropriate penetration level to ensure a specified reliability requirement. For this purpose, the proper calculation of wind power capacity credit is of particular importance which is useful in both operations and planning stages...
The adequacy of power generation should be properly evaluated to facilitate the reliable operations of power systems under uncertainties. More recently, wind power has attracted significant attention primarily because it does not consume fossil fuels and is environmentally benign. However, the output from wind turbine generator (WTG) can not be precisely predicted due to the intermittent nature of...
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.