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Decision Support Concerning Demand Response Programs Design and Use - A Conceptual Framework and Simulation Tool |
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PP: 161-169 |
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Author(s) |
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Pedro Faria,
Zita Vale,
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Abstract |
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| Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy
resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving
the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more
important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used
in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate
business models and by inadequate demand response programs management. This paper contributes to developing methodologies and
a computational infrastructure able to provide the involved players with adequate decision support on demand response programs
and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors
to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization
module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed
methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by
the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning
DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented. |
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