Scenario generation with clustering for optimal allocation of renewable DG

Ikki Tanaka, Hiromitsu Ohmori

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Active introduction of renewable distributed generation (DG) to the distribution system has become one of the challenging research in recent years. In the introduction plan of the renewable energy in Japan, long-term goal for high penetration of DG towards 2030 is shown. However, specific implementation plan such as the allocation, capacity, and timing has not been decided. In this paper, for decision-making of introducing DG, a novel scenario generation method with K-means is proposed. This method generates electric load, wind, and PV-production scenarios representing uncertainty, which are used as input for stochastic programming. Then, the problem is formulated as two-stage multiperiod mixed-integer linear programming (MILP) model. In this model, investment variables are decided in the first stage and operation and maintenance variables that depends on scenarios are solved in the second stage. This model minimize the total distributed system cost that is affected by demand growth. Constraints include power flow constraints, substation and feeders capacities, investment constraints, voltage, and current limits. In numerical simulation, several scenarios are generated using historical weather and demand data of Japan and the model is tested on 34-bus system.

本文言語English
ホスト出版物のタイトル2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
出版社IEEE Computer Society
ページ966-971
ページ数6
ISBN(電子版)9781509043033
DOI
出版ステータスPublished - 2016 12 22
イベント2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016 - Melbourne, Australia
継続期間: 2016 11 282016 12 1

Other

Other2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016
国/地域Australia
CityMelbourne
Period16/11/2816/12/1

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム

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