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Conference Papers Year : 2018

Competitive algorithms for demand response management in smart grid

Vincent Chau
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Shengzhong Feng
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Nguyen Kim Thang
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We consider a scheduling problem which abstracts a model of demand-response management in Smart Grid. In the problem, there is a set of unrelated machines and each job j (representing a client demand) is characterized by a release date, and a power request function representing its request demand at specific times. Each machine has an energy power function and the energy cost incurred at a time depends on the load of the machine at that time. The goal is to find a non-migration schedule that minimizes the total energy (over all times). We give a competitive algorithm for the problem in the online setting where the competitive ratio depends (only) on the power functions of machines. In the setting with typical energy function P(z) = zν, the algorithm is Θ(νν) -competitive, which is optimal up to a constant factor. Our algorithm is robust in the sense that the guarantee holds for arbitrary request demands of clients. This enables flexibility on the choices of clients in shaping their demands — a desired property in Smart Grid. We also consider a special case in offline setting in which jobs have unit processing time, constant power request and identical machines with energy function P(z) = zν. We present a 2ν-approximation algorithm for this case.
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hal-01781214 , version 1 (21-06-2022)


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Vincent Chau, Shengzhong Feng, Nguyen Kim Thang. Competitive algorithms for demand response management in smart grid. 13th International Symposium on Latin American Theoretical Informatics (LATIN 2018), Apr 2018, Buenos Aires, Argentina. pp.303-316, ⟨10.1007/s10951-021-00690-x⟩. ⟨hal-01781214⟩
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