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Optimal Allocation Method of Microgrid Dispatching Based on Multi-objective Function

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Cyber Security Intelligence and Analytics (CSIA 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 172))

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Abstract

With the birth of microgrid technology, its related research and application have been widely concerned by the world. This paper mainly studies the optimal dispatching of microgrid. Firstly, the operation characteristics of common distributed power sources in the microgrid are analyzed and modeled, then a multi-parameter and multi-objective microgrid scheduling optimization model is proposed, and an improved genetic algorithm supporting multiple time scales is used to solve the scheduling planning problem. Finally, the scientific and practical nature of the proposed method is verified by an actual example.

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References

  1. Wu, G.K.: System modeling and optimal dispatching of multi-energy microgrid with energy storage. J. Mod. Power Syst. Clean Energy 8(005), 809–819 (2020)

    Google Scholar 

  2. Gupta, N.P., Paliwal, P.: Design and operation of smart hybrid microgrid. Int. J. Emerg. Electr. Power Syst. 22(6), 729–744 (2021)

    Article  Google Scholar 

  3. Binh, P., Le, T.N., Phan, Q.D., et al.: Optimal generator dispatching with uncertain conditions for islanded microgrid. IEEE Access PP(99), 1 (2020)

    Google Scholar 

  4. Bui, V.H., Hussain, A., Kim, H.M.: A strategy for optimal operation of hybrid AC/DC microgrid under different connection failure scenarios. Int. J. Smart Home 10(12), 231–244 (2016)

    Article  Google Scholar 

  5. Jang, M.J., Kim, K.H.: Cooperative and autonomous control strategy of AC microgrid with energy storage system. Int. J. Control Autom. 10(5), 47–64 (2017)

    Article  Google Scholar 

  6. Lee, J.W., Kim, M.K., Kim, H.J.: A multi-agent based optimization model for microgrid operation with hybrid method using game theory strategy. Energies 14 (2021)

    Google Scholar 

  7. Bui, V.H., Hussain, A., Kim, H.M.: Q-Learning-based operation strategy for community battery energy storage system (CBESS) in microgrid system. Energies 12 (2019)

    Google Scholar 

  8. Wang, S., Wang, D., Han, L.: Interval linear programming method for day-ahead optimal economic dispatching of microgrid considering uncertainty. Autom. Elec. Power Syst. 38(24), 5–11 and 47 (2014)

    Google Scholar 

  9. Yang, L., Xinwen, F., et al.: Optimal active power dispatching of microgrid and distribution network based on model predictive control. Tsinghua Sci. Technol. (2018)

    Google Scholar 

  10. He, Y.: Research on the optimal economic power dispatching of a multi-microgrid cooperative operation. Energies 15 (2022)

    Google Scholar 

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Author information

Authors and Affiliations

  1. National Nuclear Power Planning and Design Institute Co., Ltd., Haidian District, Beijing, 100089, China

    Yang Xuan, Xiaojie Zhou, Lisong Bi, Zhanzequn Yuan & Miao Wang

  2. Nitte Meenakshi Institute of Technology, Bengaluru, India

    B. Rai Karunakara

Authors
  1. Yang Xuan
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  2. Xiaojie Zhou
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  3. Lisong Bi
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  4. Zhanzequn Yuan
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  5. Miao Wang
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  6. B. Rai Karunakara
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Corresponding author

Correspondence to Xiaojie Zhou .

Editor information

Editors and Affiliations

  1. Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  2. United Arab Emirates University, Abu Dhabi, United Arab Emirates

    Saed Alrabaee

  3. Stratesys, Madrid, Spain

    Octavio Loyola-González

  4. Telkom University, Cileunyi, Jawa Barat, Indonesia

    Niken Dwi Wahyu Cahyani

  5. Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Nurul Hidayah Ab Rahman

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Xuan, Y., Zhou, X., Bi, L., Yuan, Z., Wang, M., Karunakara, B.R. (2023). Optimal Allocation Method of Microgrid Dispatching Based on Multi-objective Function. In: Xu, Z., Alrabaee, S., Loyola-González, O., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-031-31860-3_25

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