A Distributed Auction-Based Algorithm for the Nonconvex Economic Dispatch Problem

被引：180

作者：

Binetti, Giulio ^{[1
,2
]}

Davoudi, Ali ^{[2
]}

Naso, David ^{[1
]}

Turchiano, Biagio ^{[1
]}

Lewis, Frank L. ^{[2
]}

机构：

[1] Polytech Bari, I-70125 Bari, Italy

[2] Univ Texas Arlington, Arlington, TX 76015 USA

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2014年 / 10卷 / 02期

基金：

美国国家科学基金会;

关键词：

Auction algorithm; distributed algorithm; economic dispatch (ED); nonconvex optimization; smart grid; PARTICLE SWARM OPTIMIZATION; DIFFERENTIAL EVOLUTION; COORDINATION; NETWORK; UNITS;

D O I：

10.1109/TII.2013.2287807

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

This paper presents a distributed algorithm based on auction techniques and consensus protocols to solve the nonconvex economic dispatch problem. The optimization problem of the nonconvex economic dispatch includes several constraints such as valve-point loading effect, multiple fuel option, and prohibited operating zones. Each generating unit locally evaluates quantities used as bids in the auction mechanism. These units send their bids to their neighbors in a communication graph that supports the power system and which provides the required information flow. A consensus procedure is used to share the bids among the network agents and resolves the auction. As a result, the power distribution of generating units is updated and the generation cost is minimized. The effectiveness of this approach is demonstrated by simulations on standard test systems.

引用

页码：1124 / 1132

页数：9

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