Optimization Design Suite for Expandable Micro-Grid Clusters

Iwamura, Kazuaki and Nakanishi, Yosuke and Takamori, Hiroshi and Lewlomphaisarl, Udom and Estoperez, Noel and Lomi, Abraham (2018) Optimization Design Suite for Expandable Micro-Grid Clusters. In: 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), 09 December 2018, Paris, France.

[img] Text
Jurnal_artikel-11_C.1.c.1-11_cek plagiasi.pdf

Download (1MB)
[img] Text
C.1.c.1-11_article_LOMI.pdf

Download (236kB)
[img] Text
C.2.a.2-14_artikel_LOMI.pdf

Download (236kB)
[img] Text
prosiding_artikel-14_C.2.a.2-14_cek plagiasi.pdf

Download (1MB)
Official URL: https://doi.org/10.1109/ICRERA.2018.8566707

Abstract

In this study, we introduce an optimization design suite, referred to as the “grid of grids optimal designer” (GGOD), as an addition to the expandable micro-grid clusters (EMGCs) for the evolving electricity generation and infrastructure sectors. EMGCs are an autonomous group of micro-grids in which clusters can generate and consume power. The GGOD is a type of simulation software suitable for longterm use at an electrical facility, where operation planners can plan the expansion, construction, and EMGC operation functions. One of the primary uses of the GGOD is for geospatial data, which require the execution of real world optimization planning. Here, we describe two key applications of the GGOD, including geospatial integrated resource planning for wind farm allocation and transmission configurations, as well as congestion–mitigation planning based on the nodal price approach. Moreover, a concept for the interactive use of optimization functions is also explained.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: microgrid; expandable micro-grid cluster; grid of grids optimal designer; optimization; geospatial data
Subjects: Engineering > Electrical Engineering
Divisions: Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User: Mr Sayekti Aditya Endra
Date Deposited: 25 Apr 2023 10:14
Last Modified: 25 Apr 2023 13:30
URI: http://eprints.itn.ac.id/id/eprint/11519

Actions (login required)

View Item View Item