Distributed AC security-constrained unit commitment for multi-area interconnected power systems

被引:3
|
作者
Zhang, Chen [1 ]
Yang, Linfeng [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
[2] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
基金
中国国家自然科学基金;
关键词
AC SCUC; Distributed optimization; Alternating directions method of multipliers; Regularized prime-dual interior point method; AUGMENTED LAGRANGIAN-RELAXATION; ALTERNATING DIRECTION METHOD; INTERIOR-POINT METHOD; DECENTRALIZED SOLUTION; ENERGY MANAGEMENT; DECOMPOSITION; FLOW; OPTIMIZATION; FRAMEWORK;
D O I
10.1016/j.epsr.2022.108197
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An AC Security-Constrained Unit Commitment (AC SCUC) for multi-area interconnected power systems is an extension of the unit commitment and AC dynamic optimal power flow, which is nonconvex mixed-integer nonlinear programming. In this paper, the alternating directions method of multipliers combined with the regularized prime-dual interior point method, which is denoted by ADMM-R-PDIPM, is proposed to solve this problem in a distributed way to achieve joint dispatching privacy protection in multi-area interconnected power systems. The alternating directions method of multipliers decomposes the AC SCUC problem into unit commitment and AC dynamic optimal power flow subproblems, it can be solved distributed. In addition, an improved approach reduces the iterative numbers and the running time to overcome the defects of inner and outer algorithms. Then case studies on the IEEE 38 and 118 systems are presented. The results show that the ADMM-R-PDIPM approach can effectively realize the distributed optimal scheduling of AC SCUC.
引用
收藏
页数:13
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