Enhanced Pumped Hydro Storage Utilization Using Policy Functions

Nan Li, Kory Hedman

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

While there are growing interests in using pumped hydro storage to facilitate the integration of renewable resources, the flexibility of storage is not being fully utilized by existing energy and market management systems. Today, one common approach to operate pumped hydro storage is to determine schedules for a future time horizon based on a look-ahead operational planning stage, with limited adjustment in real-time. However, as renewable penetration levels increase, such approaches do not fully utilize the flexibility of pumped hydro storage. In this paper, a policy function approach is proposed to enhance the utilization of pumped hydro storage in real-time operations. The performance of the approach is evaluated and compared with other benchmark approaches using the IEEE RTS 24-bus system. The result shows that the policy function approach is effective in utilizing the flexibility of pumped hydro storage and has minimal added computational complexity to the existing dispatch process.

Original languageEnglish (US)
Article number7492185
Pages (from-to)1089-1102
Number of pages14
JournalIEEE Transactions on Power Systems
Volume32
Issue number2
DOIs
StatePublished - Mar 1 2017

Keywords

  • Classification
  • data mining
  • energy storage
  • machine learning
  • policy functions
  • power system economics
  • pumped hydro storage (PHS)
  • renewable resources

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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