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Revisión general de respuesta a la demanda y sus implicaciones

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Date
2021
Author
Moncada Pinzón, Favian Leonardo
Magíster en Ingeniería - Gestión Sostenible de la Energía
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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.
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http://hdl.handle.net/20.500.12010/17197
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Carrera 4 # 22-61 Teléfono: (+57 1) 242 7030 - 018000111022 Fax: (+57 1) 561 2107 Bogotá D.C., Colombia

Fundación Universitaria de Bogotá Jorge Tadeo Lozano | Vigilada Mineducación

Institución de educación superior privada, de utilidad común, sin ánimo de lucro y su carácter académico es el de Universidad.

Reconocimiento personería jurídica: Resolución 2613 del 14 de agosto de 1959 Minjusticia.

Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional.

 

Términos y condiciones | Políticas