Distributed Optimization for Scheduling Electrical Demand in Complex City Districts

被引：15

作者：

Diekerhof, Michael ^{[1
]}

Schwarz, Sebastian ^{[1
]}

Martin, Florian ^{[1
]}

Monti, Antonello ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Inst Automat Complex Power Syst, D-52062 Aachen, Germany

来源：

IEEE SYSTEMS JOURNAL | 2018年 / 12卷 / 04期

关键词：

City districts; demand response (DR); distributed optimization; dual decomposition (DD); flexibility; ENERGY MANAGEMENT; ALGORITHM;

D O I：

10.1109/JSYST.2017.2713798

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper analyzes and compares one central and one distributed optimization method applied to complex city districts embedded in a hierarchical architecture. We define a complex city district by the coexistence of residential, nonresidential, and industry. The proposed methods are for offline, day-ahead optimization for operation planning purposes of, e.g., electrothermal heating systems. This paper analyzes how this way city districts may provide flexibility for demand response purposes. The optimization objective is the matching of supply and demand on system level by maximizing the usage of renewable energy generation. We provide quantitative and qualitative results to compare the performance of the algorithms and their potential for providing flexibility.

引用

页码：3226 / 3237

页数：12