TY - JOUR
T1 - Consensus-Based Decentralized Optimization for Distributed Generators Power Allocation over Time-Varying Digraphs in Microgrids
AU - Yang, Dongsheng
AU - Zhang, Shicong
AU - Zhou, Bowen
AU - Bu, Siqi
N1 - Funding Information:
Manuscript received October 10, 2019; revised March 13, 2020; accepted April 22, 2020. Date of publication May 25, 2020; date of current version March 9, 2021. This work was supported in part by the National Natural Science Foundation of China under Grant U1908217, in part by the Liaoning Revitalization Talents Program under Grant XLYC1902055, and in part by National Key Research and Development Project under Grant 2018YFB1700500. (Corresponding author: Shicong Zhang.) Dongsheng Yang, Shicong Zhang, and Bowen Zhou are with the College of Information Science and Engineering, Northeastern University, Shenyang 110819, China (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - In this article, a consensus-based decentralized optimization method for distributed generators (DGs) power allocation is proposed to ensure the economic and reliable operation of microgrids. According to the method, all parameters are designed in a fully distributed fashion, which does not depend on any centers or leaders. To further achieve decentralization and to meet the flexible requirement of DGs, the strategy is adaptable to time-varying communication topologies (time-varying digraphs) and is proved to be convergent. During the communication process, the stochastic noise is introduced to imitate a nonideal communication environment, and the convergence rate is accelerated via coupling designed gains of noise and feedback (mismatch). Meanwhile, the cost of reactive power generation and reactive power compensation are considered for a comprehensive optimization, which guarantees the locally reactive power balance and reduces the cost. Simulations based on a test microgrid are used to verify the effectiveness of the proposed method. Finally, the dynamic characteristics and robustness are evaluated and compared by numerical simulation results.
AB - In this article, a consensus-based decentralized optimization method for distributed generators (DGs) power allocation is proposed to ensure the economic and reliable operation of microgrids. According to the method, all parameters are designed in a fully distributed fashion, which does not depend on any centers or leaders. To further achieve decentralization and to meet the flexible requirement of DGs, the strategy is adaptable to time-varying communication topologies (time-varying digraphs) and is proved to be convergent. During the communication process, the stochastic noise is introduced to imitate a nonideal communication environment, and the convergence rate is accelerated via coupling designed gains of noise and feedback (mismatch). Meanwhile, the cost of reactive power generation and reactive power compensation are considered for a comprehensive optimization, which guarantees the locally reactive power balance and reduces the cost. Simulations based on a test microgrid are used to verify the effectiveness of the proposed method. Finally, the dynamic characteristics and robustness are evaluated and compared by numerical simulation results.
KW - Consensus
KW - decentralized optimization
KW - microgrids
KW - noises
KW - time-varying digraph
UR - http://www.scopus.com/inward/record.url?scp=85102775883&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2020.2990633
DO - 10.1109/JSYST.2020.2990633
M3 - Journal article
AN - SCOPUS:85102775883
SN - 1932-8184
VL - 15
SP - 814
EP - 825
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
M1 - 9099415
ER -