Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response

Nhung Nguyen-Hong, Yosuke Nakanishi

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

1 Citation (Scopus)

Abstract

The hybrid wind-diesel system is a typical configuration for the isolated power system. However, the small inertia constant of this system and the uncertain of wind power and demand causes several technical challenges. Consequently, battery energy storage system is installed to support the wind-diesel system. This paper presents optimal day-ahead scheduling of the wind-diesel system and considers the role of battery storage system in frequency response. Wind power and demand uncertainties are taken into account by using forecast error modeling. The optimization problem is formulated as a two-stage Chance-Constrained Programming solved by Sample Average Approximation (SAA) algorithm using CPLEX and YALMIP toolboxes. A simple approach is also proposed to make SAA algorithm more efficient.

Original languageEnglish
Title of host publication7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages464-468
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

Other

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

Keywords

  • Chance-constrained programming
  • Day-ahead scheduling
  • Primary frequency response
  • Wind power

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response'. Together they form a unique fingerprint.

  • Cite this

    Nguyen-Hong, N., & Nakanishi, Y. (2018). Optimal Scheduling of an Isolated Wind-Diesel-Battery System considering Forecast Error and Frequency Response. In 7th International IEEE Conference on Renewable Energy Research and Applications, ICRERA 2018 (pp. 464-468). [8566847] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRERA.2018.8566847