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Optimal operation of multi-energy systems

Authors: Ren, Xuejing;

Optimal operation of multi-energy systems

Abstract

With the overexploitation of the fossil fuel, there is an urgent need to find a cleaner and efficient method to generate power. In electric power industry, integrated energy generation is considered as a method that are more efficient and environmental friendly. The close relation between different energy such as power, gas, wind and solar energy make the combination of these energies in a system become possible. In this project, an optimal operation dispatch of the micro-grid with IEEE33 bus network system combined with renewable energy (RE) and power to gas (P2G) technology is proposed. The system presented in this project comprised different energy sources and energy conversion devices. The objective function is the minimum of total cost. In this optimization problem, linear programming and software MATLAB are used to search for the best answer. The solving method is applied to two case study, the system with P2G process and without it. The results of simulation demonstrates that the proposed multi-energy system is more effective and environment-friendly. This power generation method can be considered as a promising way to tackle environment problem, therefore it deserves further research.

Master of Science (Power Engineering)

Country
Singapore
Related Organizations
Keywords

DRNTU::Engineering::Electrical and electronic engineering

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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