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 language | English |
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Title of host publication | 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1228-1233 |
Number of pages | 6 |
Volume | 2017-November |
ISBN (Electronic) | 9784907764579 |
DOIs | |
Publication status | Published - 2017 Nov 10 |
Event | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan Duration: 2017 Sept 19 → 2017 Sept 22 |
Other
Other | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
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Country/Territory | Japan |
City | Kanazawa |
Period | 17/9/19 → 17/9/22 |
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