Distribution network expansion planning under uncertainty: A hedging algorithm in an evolutionary approach

被引：26

作者：

Carvalho, PMS ^{[1
]}

Ferreira, LAFM ^{[1
]}

Lobo, FG ^{[1
]}

Barruncho, LMF ^{[1
]}

机构：

[1] IST, Dept Eng Electrtecn & Computadores, Lisbon, Portugal

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2000年 / 15卷 / 01期

关键词：

Algorithms - Combinatorial switching - Decision theory - Electric loads - Electric network analysis - Random processes;

D O I：

10.1109/61.847282

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 paper addresses the problem of distribution network expansion planning under uncertainty. The deterministic problem is itself a large-scale, complex, difficult-to-define one; the combinatorial nature of the decision making can be efficiently handled by a specific evolutionary approach. We develop, in the evolutionary optimization context, a hedging algorithm to deal with scenario representation of uncertainty; decision making results in a convergence process for the first-stage naturally conflicting decisions, The process robustness is discussed and illustration is provided for a comprehensive example.

引用

页码：412 / 416

页数：5