Journal of System Simulation
Abstract
Abstract: Traditional centralized optimization-based dispatch methods for distribution networks struggle to balance the interests of multiple stakeholders while ensuring economic efficiency and operational reliability of the system. To address this issue, a distributed dispatch method for distribution network and microgrid considering diverse regulating resources was proposed. The operational models of the distribution network and microgrid were established by comprehensively incorporating active management elements and demand response mechanisms. A fuzzy chance-constrained method was employed to model the uncertainty in renewable energy output, thereby constructing a coordinated optimization dispatch model for distribution network and microgrid under renewable generation uncertainty. An improved goal cascade algorithm was proposed to decompose the model into sub-optimization models for the distribution network and microgrids, enabling distributed solution. The simulation results show that proposed model and algorithm can achieve coordinated optimization dispatch of the distribution network and microgrid while preserving the privacy of each stakeholder's information.
Recommended Citation
Chen, Yanbo; Yin, Jiahao; Qiang, Tuben; Tian, Haoxin; Liang, Yuxin; and Zhang, Zhi
(2025)
"Distributed Dispatch Method for Distribution Network and Microgrid Considering Diverse Regulating Resources,"
Journal of System Simulation: Vol. 37:
Iss.
10, Article 3.
DOI: 10.16182/j.issn1004731x.joss.25-0528
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss10/3
First Page
2469
Last Page
2484
CLC
TP391.9; TM732
Recommended Citation
Chen Yanbo, Yin Jiahao, Qiang Tuben, et al. Distributed Dispatch Method for Distribution Network and Microgrid Considering Diverse Regulating Resources[J]. Journal of System Simulation, 2025, 37(10): 2469-2484.
DOI
10.16182/j.issn1004731x.joss.25-0528
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons