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.
The inclusion of a significant amount of renewable energy into power systems, which is set to increase significantly in the near future, has resulted in additional constraints on economic load dispatch (ELD) such as more unpredictable ramp rate and the need for additional reserves to accommodate the intermittent nature of the output. This condition may not match with the system load demand in a power...
The inclusion of a significant amount of renewable energy into power systems has resulted in additional constraints on economic load dispatch (ELD) to accommodate the intermittent nature of the output. This condition may not match with system load demand or current trading mechanisms in a power system. A genetic algorithm (GA) method using 'negative load' and 'inclusive' approach is proposed and discussed.
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.