An advanced control system for the optimal operation and management of medium size power systems with a large penetration from renewable power sources

被引：12

作者：

Nogaret, E

Stavrakakis, G

Kariniotakis, G

Papadopoulos, M

Hatziargyriou, N

Androutsos, A

Papathanassiou, S

Lopes, JAP

Halliday, J

Dutton, G

Gatopoulos, J

Karagounis, V

机构：

[1] Ecole Mines, Ctr Energet, F-06904 Sophia Antipolis, France

[2] Natl Tech Univ Athens, Athens, Greece

[3] Rutherford Appleton Lab, Didcot OX11 0QX, Oxon, England

来源：

RENEWABLE ENERGY | 1997年 / 12卷 / 02期

关键词：

D O I：

10.1016/S0960-1481(97)00028-1

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

An advanced control system for the optimal operation and management of autonomous wind-diesel systems is presented. This system minimises the production costs through an on-line optimal scheduling of the power units, which takes into account the technical constraints of the diesel units, as well as short-term forecasts of the load and renewable resources. The power system security is maximised through on-line security assessment modules, which enable the power system to withstand sudden changes in the production of the renewable sources. The control system was evaluated using data from the island of Lemnos, where it has been installed and operated since January 1995. (C) 1997 Elsevier Science Ltd.

引用

页码：137 / 149

页数：13

共 10 条

[1]

ANDROUTSOS A, 1994, P 5 EUR COMM WIND EN, P1068

[2]

DUTTON A, 1994, P 5 EUR WIND EN C EW, P1074

[3] Neural networks applied to preventive control measures for the dynamic security of isolated power systems with renewables [J].