@Article{ee.2023.043021,
AUTHOR = {Weigang Jin, Lei Chen, Yifei Li, Shencong Zheng, Yuqi Jiang, Hongkun Chen},
TITLE = {Research on Equivalent Modeling Method of AC-DC Power Networks Integrating with Renewable Energy Generation},
JOURNAL = {Energy Engineering},
VOLUME = {120},
YEAR = {2023},
NUMBER = {11},
PAGES = {2469--2487},
URL = {http://www.techscience.com/energy/v120n11/54421},
ISSN = {1546-0118},
ABSTRACT = {Along with the increasing integration of renewable energy generation in AC-DC power networks, investigating
the dynamic behaviors of this complex system with a proper equivalent model is significant. This paper presents
an equivalent modeling method for the AC-DC power networks with doubly-fed induction generator (DFIG)
based wind farms to decrease the simulation scale and computational burden. For the AC-DC power networks,
the equivalent modeling strategy in accordance with the physical structure simplification is stated. Regarding
the DFIG-based wind farms, the equivalent modeling based on the sequential identification of multi-machine
parameters using the improved chaotic cuckoo search algorithm (ICCSA) is conducted. In light of the MATLAB
simulation platform, a two-zone four-DC interconnected power grid with wind farms is built to check the efficacy
of the proposed equivalent modeling method. From the simulation analyses and comparative validation in different
algorithms and cases, the proposed method can precisely reflect the steady and dynamic performance of the
demonstrated system under N-1 and N-2 fault scenarios, and it can efficiently achieve the parameter identification
of the wind farms and fulfill the equivalent modeling. Consequently, the proposed approach’s effectiveness and
suitability are confirmed.},
DOI = {10.32604/ee.2023.043021}
}