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.
On the basis that a processing resource optimally calculates the loads scheduling one day-ahead for those prosumers operating in a demand response program, the question is: who acts the scheduling? This paper presents an electronic device named Smartbox as a low-cost and feasible home automation solution; so, given a processing resource which optimally calculates the loads scheduling one day-ahead,...
Thepopularity of electric vehicle (EV) provides both challenges and opportunities. Although EV increases the load pressure to the grid, it can also serve as the potential storage to facilitate the demand response for residential customers. In this paper, we propose an optimal and automatic scheduling scheme to exploit the benefits of EV not only from residential side but also from utility companies...
In this paper, a multi-stage optimal scheduling and controlling approach has been studied which performs the scheduling of household appliances and management of local energy resources with respect to conflicting objectives. Firstly, a compromisation between computational complexity vs parameters uncertainty by considering multistage scheduling. Second, a choice for scheduling its shiftable appliances...
Microgrid is a low-voltage organic system composed of loads, microsources and energy storage devices, and has high demand response potential. Based on advanced metering, efficient control, high-speed communications and rapid storage technology, controllable loads, microsources and energy storage all can be viewed as “generalized demand responses” in microgrid. This paper described a “source-storage-load”...
Renewable hybrid systems, which can generate power from solar or wind with low cost, is commonly installed in remote areas. When some areas get grid connection, customers installed the hybrid system can earn cost savings if taking part in demand response programs. In this paper an optimal energy management for a grid connected photovoltaic-battery hybrid system is proposed to sufficiently utilize...
This paper proposes a method for operational scheduling of distributed energy resources, including wind power generation, photovoltaic power generation, battery storage systems (BSSs), electric vehicles (EVs) and demand response (DR), in a smart grid distribution system. Daily time-varying wind and solar power products and loads are considered in the operational planning problem, which is solved by...
Vehicle-to-grid (V2G), the provision of energy and ancillary services from an electric vehicle (EV) to the grid, has the potential to offer financial benefits to EV owners and system benefits to utilities. In this work a V2G algorithm is developed to optimize energy and ancillary services scheduling. The ancillary services considered are load regulation and spinning reserves. The algorithm is developed...
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.