A multiple objective decision support model for the selection of remote load control strategies
Dept. of Electrical Eng.
University of Coimbra
3030 Coimbra, Portugal
Rua Antero de Quental, 199
3000 Coimbra, Portugal
Utilities frequently use remote load control as an effective means to achieve suitable network operational conditions. This procedure, usually designated Load Management (LM), is a part of the resources considered under the general designation of Demand-Side Management (DSM). Loads associated with some form of thermal energy storage (e.g. water heaters and air conditioners) are the ones most frequently used in this type of remote control procedures in the residential sector.
However, the use of LM in electric distribution network management is a problem that involves different conflicting aspects such as reducing peak demand, maximizing utility profits and minimizing discomfort caused to consumers. Hence, the problem is multiobjective in nature: economical, technical and quality of service aspects must all be explicitly accounted for in the mathematical models. By means of multiobjective models, decision-makers (DM) may grasp the conflicting nature of the objectives and the trade-offs to be made in order to obtain satisfactory compromise solutions.
This paper presents a multiobjective decision support model which allows the consideration of the main concerns that have an important role in load management: minimize peak demand as perceived by the distribution network dispatch center, maximize utility profit corresponding to the energy services delivered by the controlled loads, maximize quality of service in the context of LM.
Keywords: Load management; Multiobjective programming; Load modeling; Energy management