Distributed Real-Time Power Flow Control with Renewable Integration

被引：0

作者：

Nakayama, Kiyoshi ^{[1
]}

Zhao, Changhong ^{[2
]}

Bic, Lubomir F. ^{[1
]}

Dillencourt, Michael B. ^{[1
]}

Brouwer, Jack ^{[3
]}

机构：

[1] Univ Calif Irvine, Dept Comp Sci, Irvine, CA 92697 USA

[2] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA

[3] Univ Calif Irvine, Dept Mech & Aerosp Engn, Irvine, CA 92697 USA

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM) | 2013年

关键词：

TIE-SET GRAPH;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We formulate an Optimal Real-Time Power Flow (ORPF) problem that integrates renwable energy generation and energy storage. In the ORPF problem, we seek to minimize the costs of energy storage and of power generation from fossil fuel that are required to balance the loads and generation from renewable sources. We present a novel decentralized algorithm for this problem, using tie-set graph theory. Tie-set graph theory significantly reduces the complexity of the ORPF problem by dividing a power network into a set of independent loops referred to as "tie-sets." Simulation results demonstrate real-time power production responses and flow controls that lead to reliable use of battery systems and reduce the cost of using fossil fuel.

引用

页码：516 / 521

页数：6

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