Optimal operation of dispersed generation under uncertainty using mathematical programming

被引：67

作者：

Handschin, E.

Neise, F.

Neumann, H.

Schultz, R.

机构：

[1] Univ Dortmund, Inst Energy Syst & Energy Econ, D-44227 Dortmund, Germany

[2] Univ Duisburg Essen, Dept Math, D-47048 Duisburg, Germany

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2006年 / 28卷 / 09期

关键词：

dispersed generation; mathematical programming; uncertainty;

D O I：

10.1016/j.ijepes.2006.03.003

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The foreseen decentralization of the electrical energy supply has a significant impact on the overall system operation and control. To increase the economic efficiency of dispersed generation (DG) a powerful optimization technique is required. This paper presents a mathematical model including different kinds of DG units with respect to their technical characteristics as well as the optimization technique which is used to solve the problems under the existing uncertainties. (C) 2006 Elsevier Ltd. All rights reserved.

引用

页码：618 / 626

页数：9

共 13 条

[1] ARNDT U, 2002, VIRTUELLE BRENNSTOFF
[2] Dual decomposition in stochastic integer programming
Caroe, CC
Schultz, R
[J]. OPERATIONS RESEARCH LETTERS, 1999, 24 (1-2) : 37 - 45
[3] GEIGER B, 2002, AUFTRAG BUNDESVERBAN
[4] HANDSCHIN E, 2002, 2 INT S DISTR GEN ST
[5] HANDSCHIN E, 2002, P VDI GET C ENTW EN
[6] A spectral bundle method with bounds
Helmberg, C
Kiwiel, KC
[J]. MATHEMATICAL PROGRAMMING, 2002, 93 (02) : 173 - 194
[7] Ichikawa T, 2002, P 14 POW SYST COMP C
[8] *ILOG, 2003, CPLEX CALL LIB 8 1
[9] Price-based unit commitment: A case of Lagrangian relaxation versus mixed integer programming
Li, T
Shahidehpour, M
[J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) : 2015 - 2025
[10] NEUMANN H, 2004, P C FERN NAHW KRAFT

← 1 2 →