Chen, Qikun
2024.
The optimal mix of flexibility from an integrated
energy system.
PhD Thesis,
Cardiff University.
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Abstract
Quantifying the value of energy system flexibility is becoming increasingly complex due to the growing interconnections and interactions among diverse energy infrastructures. To address this challenge, a modelling framework of an integrated energy system is developed. This framework incorporates the coordinated operation of various units, to optimise the whole energy system’s operation and identify the role of different flexibility sources. It was shown by the results that, compressor units within the gas network can offer flexibility by using linepack as a gas storage buffer, and the coordinated operation of gas-driven and electric-driven compressors can significantly reduce operational costs and emissions. Flexible operation of electrolysers and electric storage units enables the power system to accommodate more variable renewable generation. In addition, residential heating systems can contribute flexibility by using the thermal inertia of building fabrics to adjust indoor temperatures adaptively. These flexibilities lead to substantial reductions in operational costs compared to systems lacking such capabilities. The magnitude of available flexibility that can be offered by various electricside units was quantified, and Locational Marginal Prices (LMP) were calculated iii for busbars throughout the electric power system. A correlation analysis explored the relationship between upward flexibility and LMP at each busbar. Results showed that by harnessing this flexibility, the system can more effectively manage increasing demand by optimally dispatching renewable resources across time steps.
Item Type: | Thesis (PhD) |
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Date Type: | Completion |
Status: | Unpublished |
Schools: | Engineering |
Uncontrolled Keywords: | System flexibility; Energy systems integration; Coordinated operation; Techno-economic analysis; Mixed-integer optimisation; Energy transition |
Date of First Compliant Deposit: | 14 February 2025 |
Last Modified: | 14 Feb 2025 15:34 |
URI: | https://orca.cardiff.ac.uk/id/eprint/176202 |
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