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Cluster Computing

, Volume 22, Supplement 4, pp 8985–8997 | Cite as

Multi-stage generation and transmission coordinated planning method with a modified fireworks algorithm facing to energy internet

  • Dunnan Liu
  • Shaojie OuyangEmail author
  • Rui Ge
  • Mo Yang
  • Xiaochun Zhang
  • Fanghui Tan
Article
  • 98 Downloads

Abstract

The integration of energy internet (EI) and electric power system has a profound influence on electric power system planning. Therefore, this paper mainly resolves the EI-oriented multi-stage generation and transmission coordinated planning problem with a modified fireworks algorithm. Firstly, we combined with Stackelberg game theory and focused on subject game theory, system low carbon characteristic and renewable energy generation, a multi-stage generation and transmission coordinated planning model for electric power system is proposed. The model has a main objective function of maximizing the social welfare and two secondary objective functions of maximizing individual profits in the operation stage and maximizing overall profits of generation companies in the planning stage. Then, a modified fireworks algorithm (MFWA) is proposed with good expandability, convergence and adaptability to solve the problem. The MFWA is modified by introducing Gaussian Mutation to improve global search capability. The basic coding method and solution procedure of the MFWA are depicted. Finally, an improved IEEE-24 bus system is used to test the proposed planning method and MFWA. By comparing three scenarios and analysing results, we can verify the validity and feasibility of the proposed method.

Keywords

Energy internet Fireworks algorithm Electric power system Coordinated planning 

Notes

Acknowledgements

The work described in this paper was supported by National Natural Science Foundation of China (71401055), Beijing Social Science Fund (15JDJGB034).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Dunnan Liu
    • 1
  • Shaojie Ouyang
    • 2
    Email author
  • Rui Ge
    • 3
  • Mo Yang
    • 4
  • Xiaochun Zhang
    • 4
  • Fanghui Tan
    • 4
  1. 1.State Key Laboratory for Alternate Electrical Power System with Renewable Energy SourcesNorth China Electric Power UniversityBeijingChina
  2. 2.Management Science Research Institute of Guangdong Power Grid Co., LtdGuangzhouChina
  3. 3.National Electric Power Dispatching and Communication CentreBeijingChina
  4. 4.School of Economics and ManagementNorth China Electric Power UniversityBeijingChina

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