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.
Based on the preliminary introduction of power demand response, this paper puts forward the problem in multi-level demand response reliable communication. Next, we analysis the principle of block chain technology, and then according to the characteristics of power demand response, the private block chain is chosen to solve the problem of mutual trust between users, load aggregators and power grids...
Concerning the realistic situation of power system in China, a novel unit commitment method is presented which takes comprehensive consideration for the coordinative operation of wind energy, demand response and thermal power. The proposed day-ahead scheduling scheme is aimed at practical utilization in current grid foundation. Particularly, this paper takes a practical consideration for the actual...
The growing penetration of renewable energy in power system and the increasing adoption of demand response have brought about the challenges of operation in distribution systems with more uncertainty. Due to the intermittency of distributed generation, the centralized control of distribution systems must coordinate the operation of distributed generation and responsive load in a fast and reliable...
There exists disagreement on how Demand Response (DR) programs should be designed. This is likely because people from different fields view DR differently. For example, some see DR as a mechanism to improve the economic efficiency of electricity markets while others see it as a new control variable that can enhance power system reliability and security. In this paper, we review the many options for...
An optimization model that incorporates demand in the paradigm of smart grids and distributed generation is formulated. The objective is to transform the demand into an active agent that helps minimizing costs incurred by a distribution company for energy purchases and capacity payments, in a cost based marginal pricing scheme, also extrapolated to market based bids. The development of a secondary...
Demand response (DR) is the outreach of demand side management (DSM) in competitive electricity markets. With price signals and incentive mechanisms, DR is crucial to both power system reliability and market efficiency. Based on DR research and experiences around the world, comprehensive research on DR in electricity markets is conducted, including its definition, classification, implementation mechanisms,...
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.