A distributed control framework for smart grid development: Energy/water system optimal operation and electric grid integration

被引：58

作者：

Qi, Wei ^{[1
]}

Liu, Jinfeng ^{[1
]}

Christofides, Panagiotis D. ^{[1
,2
]}

机构：

[1] Univ Calif Los Angeles, Dept Chem & Biomol Engn, Los Angeles, CA 90095 USA

[2] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90095 USA

来源：

JOURNAL OF PROCESS CONTROL | 2011年 / 21卷 / 10期

基金：

美国国家科学基金会;

关键词：

Electrical grid; Renewables-based energy generation systems; Water systems; Supervisory predictive control; MODEL-PREDICTIVE CONTROL; GENERATION SYSTEM; CONTROL STRATEGIES; COST OPTIMIZATION; WIND; SPEED; CONVERSION; DESALINATION; PLANT;

D O I：

10.1016/j.jprocont.2011.05.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we propose a conceptual distributed control framework for electrical grid integrated with distributed renewable energy generation systems in order to enable the development of the so-called "smart electrical grid". First, we introduce the key elements and their interactions in the proposed control architecture and discuss the design of the distributed control systems which are able to coordinate their actions to account for optimization considerations on the system operation. Subsequently, we focus on a specific wind/solar energy generation system connected to a reverse osmosis water desalination system and the electrical grid and design two supervisory predictive controllers via model predictive control to operate the integrated system taking into account short-term and long-term optimal maintenance and operation considerations, respectively. Simulations are carried out to illustrate the applicability and effectiveness of the proposed approach. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1504 / 1516

页数：13

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