Distributed Convex Optimal Power Flow Model Based on Alternating Direction Method of Multipliers For Power Distribution System

被引:1
作者
Biswas, Biswajit Dipan [1 ]
Kamalasadan, Sukumar [1 ]
机构
[1] Univ North Carolina Charlotte, Charlotte, NC 28223 USA
来源
2021 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS) | 2021年
基金
美国国家科学基金会;
关键词
Optimal Power Flow(OPF); Distribution System; Convex Optimization; Alternating Direction Method of Multipliers (ADMM); Semi-Definite Programming (SDP);
D O I
10.1109/IAS48185.2021.9677276
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The objective of OPF is to find an operating point for a network minimizing certain cost functions such as line losses or generation costs. In recent years, a significant rise in distributed generation (DG) penetration in the distribution network made the OPF problem a greater computational burden. As a result, the centralized OPF formulation is facing more challenges. In this paper a fully distributed approach has been proposed that utilizes the convergence proper of alternating direction method of multipliers (ADMM) and split the central OPF problem into small problems of regions. All the regional OPF problems are parallelizable and computationally cheaper than the centralized approach. The non-linear, non-convex AC-OPF problem in this approach uses SDP relaxation to convexify. The proposed approach is tested on the modified IEEE 123 bus system to prove it's scalability.
引用
收藏
页数:6
相关论文
共 21 条
[1]  
Baldick R, 1999, IEEE T POWER SYST, V14, P858, DOI 10.1109/59.780896
[2]  
Biswas B.D., 2019, 2019 North American Power Symposium (NAPS), P1
[3]   Distributed optimization and statistical learning via the alternating direction method of multipliers [J].
Boyd S. ;
Parikh N. ;
Chu E. ;
Peleato B. ;
Eckstein J. .
Foundations and Trends in Machine Learning, 2010, 3 (01) :1-122
[4]  
Cain M. B., 2012, History of Optimal Power Flow and Formulations
[5]  
Carpentier J., 1962, B SOC FRANCAISE ELEC, V3, P431
[6]  
Castillo A., 2013, SURVEY APPROACHES SO
[7]  
Farivar M, 2011, INT CONF SMART GRID
[8]  
Farivar M, 2013, IEEE T POWER SYST, V28, P2554, DOI 10.1109/TPWRS.2013.2255317
[9]  
Frank S., 2012, ENERGY SYSTEMS, V3
[10]   Optimal power flow: A bibliographic survey I Formulations and deterministic methods [J].
Frank S. ;
Steponavice I. ;
Rebennack S. .
Energy Systems, 2012, 3 (03) :221-258