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This paper analyzes the mode provisioning and scheduling, in light of the aggregation over distributed energy storage system for improving the interactions and energy trading decisions under the smart grid networks. Further a new smart power system equipped with energy storage devices yields efficiency and robustness in a novel structure, which can identify and react on the energy market equilibrium in a timely manner. An energy consumption and stochastic linear programming game in the distributed structure is proposed for the energy payments, so that scheduling for appliances and storage devices can be used here as well. Furthermore, it is easy to implement a proposed two-phase DSLPM (distributed stochastic linear programming management) algorithm to bring about optimality with both energy provider and users to approach payoff sharing under uncertainty. With the incomplete information, a price equilibrium scheme is proposed. Experimental results are shown to verify the consumed energy, payment, and convergence properties of the proposed models. [ABSTRACT FROM AUTHOR]

Mobile operators are deploying energy-harvesting heterogeneous networks due to their foreseen advantages such as self-sustainable capability and reduced operating expenditure, which cannot be offered by conventional grid powered communications. However, the used energy storage is subject to irreversible aging mechanisms, requiring intelligent management that considers both the energy cost and battery life cycle. In this paper, we propose a cognitive energy management strategy for small cell base stations powered by local renewable energy, a battery, and the smart grid to simultaneously minimize electricity expenditures of the mobile operators and enhance the life span of the storage device. Non-linear battery models and aging processes are considered to formulate the energy cost optimization problem. Simulation results in different configurations show that a degradation-aware policy significantly improves the battery lifetime, while achieving considerable cost savings. [ABSTRACT FROM AUTHOR]