GENEREDES
[ Acima ] [ INCERTEZA ] [ AGAP ] [  REDES ] [ GERHA ] [ SAVE-TEXTEIS ] [ SAVE-ESCOLAS ] [ GENEREDES ] [ RUESC ]

Optimização de Acções de Telecontrolo de Cargas em Redes Eléctricas de Distribuição

Ref.: PRAXIS/3/3.1/CEG/2610/95

Responsável:

Prof. António Manuel Oliveira Gomes Martins

Grupo de investigação (INESC):

Humberto Jorge

C. Henggeler Antunes

João Clímaco

Breve descrição

In electricity distribution networks management activities there are a number of situations where it is convenient or indispensable to control maximum demand. This may happen due either to reasons of economy - reduce losses and increase load factor is a means of reducing costs of purchased energy by the distributor - or to physical limitations of the network equipment - namely lines and transformers. Utilities frequently use load remote control as an effective means of achieving good network operational conditions - it is usually designated "load management" (LM) and it is a part of the resources considered under the umbrella of demand-side management (DSM). Loads mostly used in this type of remote control procedures are those which deliver an energy service whose quality is not substantially affected by supply interruptions of short duration. In the residential sector typical loads are those associated to some form of thermal energy storage - eg. water heaters, air conditioners.
The main objectives of the proposed project may be stated as:
Obtain and validate models of electric end-use loads which are based on the physical phenomena associated to their operation - designated physically-based load models (PBLM).
Specify and implement a simulation environment that allows the management of a great number of similar loads in order to obtain diversified demand curves.
Develop a multiobjective decision support model that allows the consideration of the main concerns that have an important role in load management: minimize peak demand as seen by the distribution network dispatch centre, maximize revenues corresponding to the energy services delivered by the controlled loads, maximize the quality of service in the context of LM.