Cooperation of Storage Operation in a Power Network with Renewable Generation

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

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


In this paper, we seek to properly schedule the operation of multiple storage devices so as to minimize the expected total cost (of conventional generation) in a power network with intermittent renewable generation. Since the power network constraints make it intractable to compute optimal storage operation policies through dynamic programming-based approaches, we propose a Lyapunov optimization-based online algorithm (LOPN), which makes decisions based only on the current state of the system (i.e., the current demand and renewable generation). The proposed algorithm is computationally simple and achieves asymptotic optimality (as the capacity of energy storage grows large). To improve the performance of the LOPN algorithm for the case with limited storage capacity, we propose a threshold-based energy storage management (TESM) algorithm that utilizes the forecast information (on demand and renewable generation) over the next a few time slots to make storage operation decisions. Numerical experiments are conducted on IEEE 6-And 9-bus test systems to validate the asymptotic optimality of LOPN, and compare the performance of LOPN and TESM. Numerical results show that TESM significantly outperforms LOPN when the storage capacity is relatively small.

Original languageEnglish (US)
Article number7438888
Pages (from-to)2108-2122
Number of pages15
JournalIEEE Transactions on Smart Grid
Issue number4
StatePublished - Jul 2016

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • DC power network
  • Energy storage
  • Look-Ahead policy
  • Lyapunov optimization


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