Planning Optimization Platform for Cluster Type Micro-grid Installations and Operations

Iwamura, Kazuaki and Nakanishi, Yosuke and Lewlomphaisarl, Udom and Estopere, Noel and Lomi, Abraham (2019) Planning Optimization Platform for Cluster Type Micro-grid Installations and Operations. In: 2019 IEEE Sustainable Power and Energy Conference (iSPEC), 21-23 November 2019, Beijing, China.

[img] Text
C.2.a.2-18_artikel_LOMI.pdf
Download (4MB)
[img] Text
prosiding_artikel-18_C.2.a.2-18_cek plagiasi.pdf
Download (2MB)

Abstract

—This paper proposes an architecture for a planning optimization platform called the Grid of Grids Optimal Designer (GGOD) to facilitate the optimization of cluster type micro-grid installation and operation. Micro-grid clusters are groups of micro-grids with renewable energy that operate autonomously without power supply from main grids. The GGOD simulates micro-grid optimizations based on a service-oriented architecture and comprises three layers, i.e., end user, service broker, and service supply layers. The enduser layer corresponds to the client system, and the GGOD corresponds to the service broker and service supply layers. The service broker layer is for service management, and the service supply layer comprises various optimization components. Combinable optimization components are activated based on request text in extensible markup language format from end users. By combining optimization components, different optimizations are executed for a single request, the results of the same type of optimization methods are compared, and sudden operation environment changes are considered. Geospatial integrated resource planning and micro-grid facility planning are demonstrated as examples of GGOD applications.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: optimization, simulation platform, planning, cluster type micro-grid, service-oriented architecture
Subjects: Engineering > Electrical Engineering
Divisions: Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User: Mr Sayekti Aditya Endra
Date Deposited: 25 Apr 2023 13:45
Last Modified: 25 Apr 2023 13:45
URI: http://eprints.itn.ac.id/id/eprint/11531

Actions (login required)

View Item View Item
Eprints ITN Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.