Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation

Peng Zhao, Yongxin Zhang, Qiaozhi Hua*, Haipeng Li, Zheng Wen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Bio-inspired computer modelling brings solutions from the living phenomena or biological systems to engineering domains. To overcome the obstruction problem of large-scale wind power consumption in Northwest China, this paper constructs a bio-inspired computer model. It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load. First, the principle of wind power obstruction with the involvement of a high-energy load is examined in this work. In this step, high-energy load model with different regulation characteristics is established. Then, considering the multi-time scale characteristics of high-energy load and other demand-side resources response speed, a multi-time scale model of coordination optimization is built. An improved bio-inspired model incorporating particle swarm optimization is applied to minimize system operation and wind curtailment costs, as well as to find the most optimal energy configuration within the system. Lastly, we take an example of regional power grid in Gansu Province for simulation analysis. Results demonstrate that the suggested scheduling strategy can significantly enhance the wind power consumption level and minimize the system’s operational cost.

Original languageEnglish
Pages (from-to)957-979
Number of pages23
JournalCMES - Computer Modeling in Engineering and Sciences
Volume134
Issue number2
DOIs
Publication statusPublished - 2023

Keywords

  • bio-inspired computer modelling
  • Biological system
  • demand response
  • multi-time scale
  • particle swarm optimization
  • wind power consumption

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation'. Together they form a unique fingerprint.

Cite this