Cooperation and storage tradeoffs in power grids with renewable energy resources

Subhash Lakshminarayana, Tony Q.S. Quek, H. Vincent Poor

Research output: Contribution to journalArticle

65 Scopus citations

Abstract

One of the most important challenges in smart grid systems is the integration of renewable energy resources into its design. In this paper, 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 tradeoff 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 steady state of the system for some specific scenarios. Then, an algorithm to solve the cost minimization problem using the technique of Lyapunov optimization is developed, and results for the performance of the algorithm are provided. These results show that in the presence of limited storage devices, the grid can benefit greatly from cooperation, whereas in the presence of large storage capacity, cooperation does not yield much benefit. Further, it is observed that most of the gains from cooperation can be obtained by exchanging energy only among a few energy-harvesting sources.

Original languageEnglish (US)
Article number6840292
Pages (from-to)1386-1397
Number of pages12
JournalIEEE Journal on Selected Areas in Communications
Volume32
Issue number7
DOIs
StatePublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Keywords

  • Lyapunov optimization
  • Renewable energy
  • cooperation
  • micro-grids
  • storage

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