Multi-stage sizing approach for development of utility-scale BESS considering dynamic growth of distributed photovoltaic connection

Zao Tang, Youbo Liu, Junyong Liu, Ran Li, Lili Wen, Guofang Zhang

Research output: Contribution to journalArticle

8 Citations (Scopus)
152 Downloads (Pure)

Abstract

The battery energy storage system (BESS) is regarded as one of the most promising address operational challenges caused by distributed generations. This paper proposes a novel multi-stage sizing model for utility-scale BESS, to optimize the BESS development strategies for distribution networks with increasing penetration levels and growth patterns of dispersed photovoltaic (PV) panels. Particularly, an integrated model is established in order to accommodate dispersed PVs in short-term operation scale while facilitating appropriate profits in long-term planning scale. Clusterwise reduction is adopted to extract the most representative operating scenarios with PVs and BESS integration, which is able to decrease the computing complexity caused by scenario redundancy. The numerical studies on IEEE 69-bus distribution system verify the feasibility of the proposed multi-stage sizing approach for the utility-scale BESS.

Original languageEnglish
Pages (from-to)554-565
Number of pages12
JournalJournal of Modern Power Systems and Clean Energy
Volume4
Issue number4
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • BESS
  • Growth pattern
  • Long-time planning
  • Multi-stage sizing
  • Short-term scheduling

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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