Revisión general de respuesta a la demanda y sus implicaciones
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Date
2021Author
Moncada Pinzón, Favian Leonardo
Advisor
Aristizábal Cardona, Andrés Julián
Hashtag(s)
#RespuestaADemandaMetadata
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Summary in foreign language
This document allows us to have a general overview of DR Demand Response
management, and their respective implications by drawing a roadmap regarding its
implementation and simulation, taking into account mainly that the Demand to Demand
Offer allows us to provide a solution to provide energetic capacity and reliability to the
constantly evolving network on which the collective intelligence or Smart Grid is
enhanced. This document shows some technologies of demand management that can be
dispatched within which are: Direct Load Control, Interruptible Load, Automated, Time
Variation, Time Valuation. Some aspects to take into account are the Network restriction
services, Security of supplies, Balance and economic markets (Financial Movement)
assuming that the DR have a charging dynamic of electric power assessed between the end
user and the energy retail producer . DR programs are also essential to improve the
reliability of the system and the overall profitability taking into account a Latin American
and country regional panorama. The control systems of the demand response
management are based on the algorithms of the same which can face challenges such as
photovoltaic networks in combination with electrical systems (electrical appliances),
giving as a response a possibility to contribute in the task of managing particular energy
loads, as a result of this would imply cost savings, load reductions. These algorithms tend
to take a single solution factor, such as energy costs, maximum load among others, so that
demand management on the client side DSM (Demand side management) becomes more
important in order to improve the efficiency and sustainability generating a control on the
peak of DR demand management, recalculate the load curve and improve costs, technical
aspects for infrastructure use, generation and transmission of energy. The algorithm
systems that adapt to the system depending on their needs through a mathematical
formulation as a minimization of the problem with a limited number of loads, the HEM
algorithms (home energy management) Handles high power loads according to the
priority in households below certain levels enabling DR potentials.
Palabras clave
Demanda; EnergiaCollections
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