@Article{cmes.2022.021783,
AUTHOR = {Peng Zhao, Yongxin Zhang, Qiaozhi Hua, Haipeng Li, Zheng Wen},
TITLE = {Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {134},
YEAR = {2023},
NUMBER = {2},
PAGES = {957--979},
URL = {http://www.techscience.com/CMES/v134n2/49505},
ISSN = {1526-1506},
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, highenergy 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.},
DOI = {10.32604/cmes.2022.021783}
}