A Convex Optimization Approach for Distributed Energy Trading of Interconnected Microgrids

被引：0
作者：
Roy, Tamal [1 ]
Ni, Zhen [1 ]
Ciarcia, Marco [2 ]
机构：
[1] South Dakota State Univ, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA
[2] South Dakota State Univ, Dept Mech Engn, Brookings, SD 57007 USA
来源：
2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS) | 2018年
基金：
美国国家科学基金会;
关键词：
Distributed energy resources; sub-gradient method; deep cut ellipsoid algorithm; Lagrange multiplier; and interconnected microgrids; SYSTEM; OPERATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
A distributed convex optimization framework for energy trading of interconnected microgrids is investigated to improve the economy and reliability of system operation. In this work, a distributed energy trading approach for interconnected operation of islanded microgrids is studied. Specifically, the system includes several islanded microgrids that can trade energy in a given topology. A distributed iterative deep cut ellipsoid (DCE) algorithm is implemented with limited information exchange. This approach will address the scalability issue and also secure local information on cost functions. During the iterative process, the information exchange among interconnected microgrids is restricted to electricity prices and expected trading energy. Numerical results are presented in terms of the convergent rate of the algorithm for different topologies, and the performance of the DCE algorithm is compared with sub-gradient algorithm.
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页数：6
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