A Projection and Decomposition Approach for Multi-agent Coordinated Scheduling in Power Systems

扫码查看

原文链接

NETL
NSTL
万方数据

外文摘要：Aiming at multi-agent coordinated scheduling prob-lems in power systems under uncertainty,a generic projection and decomposition(P&D)approach is proposed in this letter.The canonical min-max-min two-stage robust optimization(TSRO)model with coupling constraints is equivalent to a con-cise robust optimization(RO)model in the version of mixed-in-teger linear programming(MILP)via feasible region projec-tion.The decentralized decoupling of the non-convex MILP problem is realized through a dual decomposition algorithm,which ensures the fast convergence to a high-quality solution in the distributed optimization.Numerical tests verify the superior performance of the proposed P&D approach over the existing distributed TSRO method.

外文关键词：

Coordinated schedulingmulti-agent systemdistributed robust optimizationprojection and decomposition

作者：

Haifeng Qiu、Zhigang Li、Hongjun Gao、Hung Dinh Nguyen、Veerapandiyan Veerasamy、Hoay Beng Gooi

展开 >

作者单位：

School of Electrical and Electronic Engineering,Nanyang Techno-logical University,639798 Singapore

School of Electric Power Engineering,South China Universi-ty of Technology,Guangzhou 510641,China

College of Electrical Engineering,Sichuan University,Chengdu 610065,China

基金：

National Research Foundation(NRF)of Singapore,Intra-CREATEMinistry of Education Singapore under its Award AcRF TIER 1 RG60/22NRF of Singapore,Energy Market Authority under its Energy Programme

项目编号：

NRF2022-ITS010-0005EP Award EMA-EP004-EKJGC-0003

出版年：

2024

DOI：

10.35833/MPCE.2023.000422

现代电力系统与清洁能源学报(英文版)

ISSN：

年,卷(期)：2024.12(3)

参考文献量20