New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations

Ikki Tanaka, Hiromitsu Ohmori

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

Abstract

Large installation of distributed generations (DGs) of renewable energy sources (RESs) on distribution network has been one of the challenging tasks in the last decade. According to the installation strategy of Japan, long-term visions for high penetration of RESs have been announced. However, specific installation plans have not been discussed and determined. In this paper, for supporting the decision-making of the investors, a new scenario-based two-stage stochastic programming problem for long-term allocation of DGs is proposed. This problem minimizes the total system cost under the power system constraints in consideration of incentives to promote DG installation. At the first stage, before realizations (scenarios) of the random variables are known, DGs’ investment variables are determined. At the second stage, after scenarios become known, operation and maintenance variables that depend on scenarios are solved. Furthermore, a new scenario generation procedure with clustering algorithm is developed. This method generates many scenarios by using historical data. The uncertainties of demand, wind power, and photovoltaic (PV) are represented as scenarios, which are used in the stochastic problem. The proposed model is tested on a 34 bus radial distribution network. The results provide the optimal long-term investment of DGs and substantiate the effectiveness of DGs.

Original languageEnglish
Title of host publicationICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems
PublisherSciTePress
Pages96-107
Number of pages12
Volume2017-January
ISBN (Electronic)9789897582189
Publication statusPublished - 2017 Jan 1
Event6th International Conference on Operations Research and Enterprise Systems, ICORES 2017 - Porto, Portugal
Duration: 2017 Feb 232017 Feb 25

Other

Other6th International Conference on Operations Research and Enterprise Systems, ICORES 2017
CountryPortugal
CityPorto
Period17/2/2317/2/25

Fingerprint

Stochastic programming
Distributed power generation
Electric power distribution
Random variables
Clustering algorithms
Wind power
Scenarios
Distributed generation
Decision making
Costs

Keywords

  • Distributed Generations
  • Expansion Planning
  • Power Systems
  • Renewable Energy Sources
  • Stochastic Optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Management Science and Operations Research
  • Computational Theory and Mathematics

Cite this

Tanaka, I., & Ohmori, H. (2017). New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations. In ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (Vol. 2017-January, pp. 96-107). SciTePress.

New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations. / Tanaka, Ikki; Ohmori, Hiromitsu.

ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems. Vol. 2017-January SciTePress, 2017. p. 96-107.

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

Tanaka, I & Ohmori, H 2017, New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations. in ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems. vol. 2017-January, SciTePress, pp. 96-107, 6th International Conference on Operations Research and Enterprise Systems, ICORES 2017, Porto, Portugal, 17/2/23.
Tanaka I, Ohmori H. New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations. In ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems. Vol. 2017-January. SciTePress. 2017. p. 96-107
Tanaka, Ikki ; Ohmori, Hiromitsu. / New scenario-based stochastic programming problem for long-term allocation of renewable distributed generations. ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems. Vol. 2017-January SciTePress, 2017. pp. 96-107
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