A virtual generation ecosystem control strategy for automatic generation control of interconnected microgrids

Lei Xi, Le Zhang, Jianchu Liu, Yudan Li, Xi Chen, Liuqing Yang, Shouxiang Wang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The continuous access of new energy and distributed energy, as well as the random disturbance of load power, affect the security and stability of microgrids. A virtual generation ecosystem control (VGEC) strategy is proposed in this paper, which adopts the idea of time tunnel and the principle of a new win-loss criterion to achieve a fast automatic generation control power dispatch, optimal coordinated control of microgrids. A two-layer dynamic power dispatch structure is introduced in the proposed strategy, which combines hierarchical Q-learning with consensus theory to improve the adaptability of the consistency algorithm in complex random environments. Both the IEEE standard two-area load frequency control model and the interconnected microgrids model are used in simulation for comparison and verification. The results show that, by using the VGEC strategy, the control performance of microgrids can be improved, while can reduce power generation cost, and obtain faster convergence speed and stronger robustness compared with other algorithms.

Original languageEnglish (US)
Article number9096284
Pages (from-to)94165-94175
Number of pages11
JournalIEEE Access
Volume8
DOIs
StatePublished - 2020

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 51707102.

Keywords

  • Automatic generation control
  • interconnected microgrids
  • time tunnel idea
  • virtual generation ecosystem control

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