A goal programming methodology for multiobjective optimization of distributed energy hubs operation

被引：72

作者：

La Scala, M. ^{[1
]}

Vaccaro, A. ^{[2
]}

Zobaa, A. F. ^{[3
]}

机构：

[1] Politecn Bari, Dept Elect Engn, I-70125 Bari, Italy

[2] Univ Sannio, Dept Engn, I-82110 Benevento, Italy

[3] Brunel Univ, Sch Engn & Design, Brunel Inst Power Syst, Uxbridge UB8 3PH, Middx, England

来源：

APPLIED THERMAL ENGINEERING | 2014年 / 71卷 / 02期

关键词：

Energy hubs; Multicarrier energy networks; Optimal energy flow analysis;

D O I：

10.1016/j.applthermaleng.2013.10.031

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper addresses the problem of optimal energy flow management in multicarrier energy networks in the presence of interconnected energy hubs. The overall problem is here formalized by a nonlinear constrained multiobjective optimization problem and solved by a goal attainment based methodology. The application of this solution approach allows the analyst to identify the optimal operation state of the distributed energy hubs which ensures an effective and reliable operation of the multicarrier energy network in spite of large variations of load demands and energy prices. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to demonstrate the significance and the validity of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：658 / 666

页数：9

共 14 条

[1] Semiphysical modelling architecture for dynamic assessment of power components loading capability [J].