Establishing a rule base for a hybrid ES/XPS approach to load management

被引：20

作者：

Gaul, AJ ^{[1
]}

Handschin, E

Hoffmann, W

Lehmkoster, C

机构：

[1] Univ Dortmund, D-44221 Dortmund, Germany

[2] KEMA ECC Europe, D-58097 Hagen, Germany

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1998年 / 13卷 / 01期

关键词：

load management; evolutionary strategies; knowledge-based systems; power generation dispatch; genetic algorithms;

D O I：

10.1109/59.651618

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：

Electrical energy has to be generated during the time it is needed. This is in contrast to economic efficiency in power generation since the best operating point for a power plant is a constant power generation at its best economical rating. The presented approach shows a way to schedule loads that do some energy storage to consume electrical power when it is available at lower generation costs. An evolutionary algorithm is evaluated, which computes the optimal operation times of the mentioned loads. Since the evolutionary strategies (ES) themselves do not consider special cases, a knowledge base is integrated into the algorithm. The resulting approach allows a more efficient application of telecontrol system for load management.

引用

页码：86 / 93

页数：8

共 8 条

[1] An Overview of Evolutionary Algorithms for Parameter Optimization [J].