Abstract
There is growing interest in renewable energy resources and the smart grid. Since most renewable sources are highly intermittent, they can induce significant fluctuations on the supply side of the power grid. On the other hand, the use of smart meters and smart appliances in the smart grid can cause significant uncertainties on the demand side as well. Therefore, unit commitment scheduling of power generation systems is an important issue in the smart grid to coordinate energy demand and power generation. In this paper, a distributed stochastic scheduling scheme is proposed in the smart grid with intermittent renewable energy resources and stochastic power demand loads. Due to meteorological instability and complex system dynamics, hidden Markov models are used in modeling renewable energy resources. A Markov-modulated Poisson process (MMPP) is used to model the stochastic power demand loads. The scheduling problem is formulated as a distributed stochastic control problem. A value iteration method and a structural results method are presented as possible solutions to this problem. The structural results method is easy to implement, which makes the solution practical for the future smart grid with intermittent renewable energy resources and stochastic power demands. Simulation results are presented to show the effectiveness of the proposed scheme.
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