A Distributed Algorithm via Consensus and Saddle Point Dynamics for Economic Dispatch Problem in Energy Networked Systems

被引：0

作者：

Phuong Huu Hoang ^{[1
]}

Chuong Van Nguyen ^{[1
]}

Sakurama, Kazunori ^{[2
]}

Ahn, Hyo-Sung ^{[1
]}

机构：

[1] Gwangju Inst Sci & Technol, Sch Mech Engn, Gwangju, South Korea

[2] Tottori Univ, Dept Mech & Aerosp Engn, Tottori, Japan

来源：

2018 57TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) | 2018年

基金：

新加坡国家研究基金会;

关键词：

Distributed optimization; economic dispatch; constraints; energy network; consensus; saddle point dynamics; CONVERGENCE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a distributed algorithm in tackling the problem of economic dispatch under generation constraints, which is a constrained optimization problem, in energy networked systems. The designed algorithm utilizes a consensus protocol and a saddle point dynamics idea to solve the problem with strictly convex objective functions in a fully distributed manner. In addition, it is shown that the private information of agents in the interconnected network is guaranteed in our proposed strategy. Furthermore, our algorithm shows a fully distributed property compared to existing works. The theoretical guarantees on the optimality of the solution are provided by rigorous analysis.

引用

页码：934 / 939

页数：6