Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks

Shunnosuke Ikeda, Hiromitsu Ohmori

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

Abstract

In recent years, photovoltaic (PV) penetration has significantly increased in distribution networks. In the future, it will be more and more important to predict how much and where PV will be installed. Existing agent-based PV diffusion models just considered the spreading of residential PV, but actually there is a large amount of non-residential PV such as industrial and commercial. Its effect should not be ignored. So far agent-based models considering optimization do not exist. In this paper, we incorporate the optimization problem into the agent-based model, and analyze how residential PV diffusion changes depending on the allocation of non-residential PV. As a result, it is shown that PV installation in root sections makes more residential PV diffuse than in end sections.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1228-1233
Number of pages6
Volume2017-November
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - 2017 Nov 10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017 Sep 192017 Sep 22

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
CountryJapan
CityKanazawa
Period17/9/1917/9/22

Fingerprint

Distribution Network
Electric power distribution
optimization
Optimization
installing
penetration
Agent-based Model
Diffusion Model
Penetration
Roots
Optimization Problem
Predict

Keywords

  • Agent-based simulation
  • non-residential PV
  • PV diffusion
  • second-order cone programming(SOCP)

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

Cite this

Ikeda, S., & Ohmori, H. (2017). Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 (Vol. 2017-November, pp. 1228-1233). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2017.8105745

Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks. / Ikeda, Shunnosuke; Ohmori, Hiromitsu.

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. p. 1228-1233.

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

Ikeda, S & Ohmori, H 2017, Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks. in 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1228-1233, 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017, Kanazawa, Japan, 17/9/19. https://doi.org/10.23919/SICE.2017.8105745
Ikeda S, Ohmori H. Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1228-1233 https://doi.org/10.23919/SICE.2017.8105745
Ikeda, Shunnosuke ; Ohmori, Hiromitsu. / Optimization-based analysis for residential PV spreading considering non-residential PV allocation in distribution networks. 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1228-1233
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