机构:
Royal Inst Technol KTH, Dept Informat Sci & Engn, SE-10044 Stockholm, SwedenRoyal Inst Technol KTH, Dept Informat Sci & Engn, SE-10044 Stockholm, Sweden
Maros, Marie
[1
]
Jalden, Joakim
论文数: 0引用数: 0
h-index: 0
机构:
Royal Inst Technol KTH, Dept Informat Sci & Engn, SE-10044 Stockholm, SwedenRoyal Inst Technol KTH, Dept Informat Sci & Engn, SE-10044 Stockholm, Sweden
Jalden, Joakim
[1
]
机构:
[1] Royal Inst Technol KTH, Dept Informat Sci & Engn, SE-10044 Stockholm, Sweden
来源:
2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC)
|
2018年
基金:
欧洲研究理事会;
关键词:
Time varying optimization;
Economic Dispatch;
ADMM;
Smart Grids;
D O I:
暂无
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Electric power distribution systems encounter fluctuations in supply due to renewable sources with high variability in generation capacity. It is therefore necessary to provide algorithms that are capable of dynamically finding approximate solutions. We propose two semi-distributed algorithms based on ADMM and discuss their advantages and disadvantages. One of the algorithms computes a feasible approximate of the optimal power allocation at each time instance. We require coordination between the nodes to guarantee feasibility of each of the iterates. We bound the distance from the approximate solutions to the optimal solution as a function of the variation in optimal power allocation, and we verify our results via experiments.