By Neil D Kelley

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1 Energy Management The feature of bidirectional flows of information and energy provides the basis for advanced energy management in SG. As stated in Sect. 3 Smart Grid Applications 17 management is important for data acquisition and processing, which can be further used for energy management. Different from information management, energy management produces the results on many aspects that can be seen directly. For example, an effective demand-side management will smooth the grid load, which can be observed directly; management on environment protection will result in a reduction of GHG emission.

3, we present an algorithm that can solve this offline problem and explain how we can move from offline to online. In Sect. 4, we present an algorithm to solve the corresponding online problem that does not require any a priori user/grid information, and show that the online algorithm is asymptotically optimal. 4), the user power consumption Pi (t) are independent. Hence the variance term can be rewritten as Var( i∈N Pi ) = i∈N Var(Pi ) and the price function f i∈N Pi (t) is same for each user, which means Pi (t) Pi (t) = f f i∈N i∈N Pi (t) i∈N Pi (t).

Atwa Y, El-Saadany E, Salama M et al (2010) Optimal renewable resources mix for distribution system energy loss minimization. IEEE Trans Power Syst 25(1):360–370 52. Bakker V, Bosman M, Molderink A et al (2010) Demand side load management using a three step optimization methodology. In: Proceedings of the SmartGridComm’10. IEEE, New York, pp 431–436 53. Gormus S, Kulkarni P, Fan Z (2010) The power of networking: how networking can help power management. In Proceedings of SmartGridComm’10. IEEE, New York, pp 561–565 54.

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