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Research on Reactive Power Optimization Control of Distribution Network with Distributed Generation Based on Genetic Algorithm

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Frontier Computing on Industrial Applications Volume 3 (FC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1133))

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Abstract

The distributed generation is aimed at optimizing the operation of distribution network to reduce losses. Many researchers have conducted this type of research and found that this method can be used to improve the performance of distribution networks. Some studies also show that this method can be used to improve the reliability and stability of power systems. It is also found that this method can be realized by using various types of distributed generation systems, such as wind, solar, hydropower, etc. This research includes three parts: (1) Overview of reactive power optimization control; (2) The relationship between distributed generation and reactive power optimization control is analyzed and summarized; (3) A case study of the application of this study in practice.

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References

  1. Feng, S., Chen, L., Zheng, X., et al.: Power flow optimization algorithm for distribution network with distributed generation based on improved projection gradient. Electr. Autom. (2019)

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Correspondence to Changjun Yu .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Yu, C. (2024). Research on Reactive Power Optimization Control of Distribution Network with Distributed Generation Based on Genetic Algorithm. In: Hung, J.C., Yen, N., Chang, JW. (eds) Frontier Computing on Industrial Applications Volume 3. FC 2023. Lecture Notes in Electrical Engineering, vol 1133. Springer, Singapore. https://doi.org/10.1007/978-981-99-9416-8_11

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  • DOI: https://doi.org/10.1007/978-981-99-9416-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9415-1

  • Online ISBN: 978-981-99-9416-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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