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Optimal Allocation of Distributed Generation Based on Particle Swarm Optimization

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The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA) (CUS-EPSA 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1030))

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Abstract

This paper mainly expounds the basic structure, working principle and grid connection method of distributed power generation, and analyzes the network loss, relay protection, power supply planning and the safety of distribution network caused by distributed power generation to the power grid. Influence. Finally, a multi-objective distributed power supply optimization distribution mode is constructed that minimizes the network loss of the distribution system and the cost of power flow supply investment, maintenance and operation, and needs to fit for certain constraints. The multi-objective optimal configuration model scheme is solved to determine the access capacity and location of the power flow supply, and compare the system loss before or after the distributed power supply is connected.

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Acknowledgements

This work was supported by State Grid Zhejiang Electric Power Co., LTD-Study on Situation awareness and elastic Control Method of AC/DC distribution network with high proportion distributed power supply (5211JX220006).

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Correspondence to Ying Wang .

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Zheng, H., Tu, X., Liu, W., Qian, W., Wang, Y., Mi, J. (2023). Optimal Allocation of Distributed Generation Based on Particle Swarm Optimization. In: Zeng, P., Zhang, XP., Terzija, V., Ding, Y., Luo, Y. (eds) The 37th Annual Conference on Power System and Automation in Chinese Universities (CUS-EPSA). CUS-EPSA 2022. Lecture Notes in Electrical Engineering, vol 1030. Springer, Singapore. https://doi.org/10.1007/978-981-99-1439-5_80

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  • DOI: https://doi.org/10.1007/978-981-99-1439-5_80

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1438-8

  • Online ISBN: 978-981-99-1439-5

  • eBook Packages: EnergyEnergy (R0)

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