Joint Optimization of Energy Storage and Wind Power Generation for an Islanded system

Nhung Nguyen-Hong, Huy Nguyen-Duc, Yosuke Nakanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For remote island communities, the hybrid wind-diesel generation system is a very common solution to provide electricity. Nowadays, the energy storage systems have become increasingly viable. The energy storage system helps to balance the stochastic nature of renewable energy sources. Therefore, in the generation and expansion planning studies, both renewable sources and energy storage devices should be considered in a single optimization problem. This approach leads to highly complicated optimization models, especially when several uncertainty factors are included. This paper proposes a stochastic optimization model to determine optimal combinations of wind turbines and energy storage systems. The optimization takes into account the uncertainty in wind generation. The study is conducted based on an actual island power system.

Original languageEnglish
Title of host publication7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages809-813
Number of pages5
ISBN (Electronic)9781538659823
DOIs
Publication statusPublished - 2018 Dec 6
Event7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 - Paris, France
Duration: 2018 Oct 142018 Oct 17

Publication series

Name7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018

Other

Other7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
Country/TerritoryFrance
CityParis
Period18/10/1418/10/17

Keywords

  • Energy storage
  • Generation expansion planning
  • Mixed integer linear programming
  • Renewable generation

ASJC Scopus subject areas

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

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