GBOML; Global Electricity Grid; Grid Interconnection; Linear Optimization; Microgrid; Costs Optimization; Distributed generators; Electricity grids; Global electricity grid; Graph-based; Graph-based optimization modeling language; Grid interconnections; Linear optimization; Optimization models; Computer Networks and Communications; Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Automotive Engineering; Electrical and Electronic Engineering; Transportation
Abstract :
[en] The electrical power generation sector is undergoing a profound transformation, shifting from traditional large, centralized generators to a more decentralized model that integrates smaller, distributed generators directly into distribution networks. Initially designed as independent backup systems, these distributed generators are now being synchronized with the grid and increasingly utilized as primary electricity sources. This transition, driven by advancements in renewable and non-conventional energy technologies, is accelerating the development and widespread adoption of Microgrids, reshaping the future of power systems. Furthermore, interconnecting multiple Microgrids offers significant benefits, such as optimizing surplus renewable energy by transferring it to neighboring Microgrids, thereby reducing reliance on energy storage systems and enhancing the overall stability and efficiency of power distribution. In this paper, the Graph-Based Optimization Modelling Language (GBOML) is employed to optimize the overall installation cost of renewable energy technologies. The results obtained from GBOML are compared with Pyomo to evaluate the effectiveness of GBOML. For the purposes of this study, the load data, as well as solar and wind energy data, were collected for four distinct regions in India: Jharkhand, Chhattisgarh, Odisha, and West Bengal. These datasets serve as the foundation for analysing renewable energy integration and load management strategies within the proposed framework.
Disciplines :
Energy
Author, co-author :
Dora, Bimal Kumar; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Haribhau Gaikwad, Nidhi; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Kulkarni, Pranjali; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Gangadhar, Tarun; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Waghmare, Ruchita Sunil; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Halder, Sudip; Finolex Academy of Management and Technology, Department of Electrical Engineering, Nagpur, India
Mitra, Arghya; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Ernst, Damien ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Bhat, Sunil; Visvesvaraya National Institute of Technology, Department of Electrical Engineering, Nagpur, India
Language :
English
Title :
Cost Optimization of Renewable Energy Installation in a Four-Microgrid System Using GBOML
Publication date :
2025
Event name :
2025 IEEE 5th International Conference on Sustainable Energy and Future Electric Transportation (SEFET)
Event place :
Jaipur, India
Event date :
09-07-2025 => 12-07-2025
Main work title :
5th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SeFeT 2025
Publisher :
Institute of Electrical and Electronics Engineers Inc.
et al. Genus Power Infrastructures Ltd. HIOKI India Pvt. Ltd. IEEE Industrial Electronics Society (IES) IEEE Power and Energy Society (PES) Mitsubishi Electric India Pvt. Ltd.
Funding text :
This study is part of the sanctioned project "Global Grid: The Future of Earth", under the SPARC scheme (No. SPARC/2019-2020/P2873/SL, dated 28/07/2023). The authors gratefully acknowledge the Ministry of Education as the funding agency for this project
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