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Industrial Load Adjustable Potential Analysis Strategy Based on Improved Eagle Algorithm

  • Zhangying Cheng,
  • Xinlei Cai,
  • Tingzhe Pan,
  • Jiale Liu,
  • Zijie Meng,
  • Xin Jin

摘要

Industrial load accounts for the largest proportion of the total social load, and tapping the potential of industrial load regulation is one of the best ways to achieve load regulation. This paper proposes a regulation strategy of industrial load demand response. Firstly, based on the electricity consumption characteristics of industrial loads, a mathematical model for industrial load regulation was designed. Different time scale issues were considered in the established model, providing different time scale scenarios for system regulation, with the goal of minimizing the total energy cost. Secondly, an improved bald eagle algorithm was proposed, which has stronger optimization ability compared to traditional bald eagle algorithms. Finally, through the IEEE-30 bus system, the optimal strategy of industrial load demand response is obtained. The simulation results of the example verify the applicability and effectiveness of the model and regulation strategy proposed in this paper.