Cooperation and Storage Tradeoffs in Power-Grids with Renewable Energy Resources
Subhash Lakshminarayana, Tony Q.S. Quek, H. Vincent Poor

TL;DR
This paper investigates the trade-offs between energy storage and cooperative energy exchange in power grids with renewable resources, using stochastic optimization and Lyapunov techniques to minimize costs.
Contribution
It introduces a stochastic optimization framework and an algorithm to analyze the balance between storage and cooperation in renewable energy integration.
Findings
Cooperation significantly benefits limited storage scenarios.
Large storage capacity reduces the need for cooperation.
Most gains are achieved by exchanging energy among few sources.
Abstract
One of the most important challenges in smart grid systems is the integration of renewable energy resources into its design. In this work, two different techniques to mitigate the time varying and intermittent nature of renewable energy generation are considered. The first one is the use of storage, which smooths out the fluctuations in the renewable energy generation across time. The second technique is the concept of distributed generation combined with cooperation by exchanging energy among the distributed sources. This technique averages out the variation in energy production across space. This paper analyzes the trade-off between these two techniques. The problem is formulated as a stochastic optimization problem with the objective of minimizing the time average cost of energy exchange within the grid. First, an analytical model of the optimal cost is provided by investigating the…
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