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Generation, Transmission and Battery Expansion Planning According To the Natural Gas Network: A Two-Level Approach
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Danial Abazari   , Reza Ebrahimi * , Mahmoud Samiei Moghaddam , Nasrin Salehi |
| Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran |
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Abstract: (63 Views) |
This paper presents a novel two-level stochastic development planning model that addresses the challenges of development, transmission, and battery storage alongside the natural gas network. In this model, high-level decisions for generation, transmission, and storage are integrated with the lower-level modeling of the natural gas network. A key feature of this model is the incorporation of high wind penetration and solar energy integration. Given the increasing uncertainty of these factors, our model offers a comprehensive solution. To solve the optimization problem, the lower-level is transformed into KKT equations, which improves efficiency. The effectiveness of the model is examined using two test networks: one with 6 buses for electricity and a gas network with 5 nodes, and the other with 24 buses and a gas network with 10 nodes. Analyzing the results under various conditions demonstrates the model’s efficiency and robustness, providing valuable insights into the interconnection between electricity, gas networks, and renewable energies. The findings of this study contribute to development planning and offer useful insights for policymakers, operators, and stakeholders in the integration of storage energy. The proposed formulation suggests comprehensive strategies that account for the complexities of the evolving energy landscape. The innovative model and approach proposed will provide a strong foundation for future research, offering practical solutions for sustainable and integrated energy system development.
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| Keywords: Power Network Expansion Planning, Stochastic Optimization, Renewable Energy Sources, Bi-Level Optimization, Natural Gas |
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Full-Text [PDF 938 kb]
(41 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2024/06/2 | Accepted: 2024/08/15 | Published: 2024/08/31
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