Optimal participation of a microgrid to the energy market with an intelligent EMS

被引：55

作者：

Celli, G. ^{[1
]}

Pilo, F. ^{[1
]}

Pisano, G. ^{[1
]}

Soma, G. G. ^{[1
]}

机构：

[1] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy

来源：

IPEC: 2005 International Power Engineering Conference, Vols 1 and 2 | 2005年

关键词：

CHP; distributed energy resources; distributed generation; Energy Management System (EMS); microgrid; microsources; neural network;

D O I：

10.1109/IPEC.2005.206991

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The interconnection of large amounts of nontraditional generation causes problems in a network designed for 'conventional' operation. A microgrid consists of a combination of generation sources, loads and energy storage interfaced through fast acting power electronics. The aim of operating microgrid sub-systems is to move away from considering DG as badly behaved system components, of which a limited amount can be tolerated in an area, to 'good citizens'. The paper is focused on the development of a novel Energy Management System (EMS) based on the application of Neural Networks (NN). The EMS is able to autonomously make decisions and determine hour by hour the correct dispatch of generators with the final goal of minimizing the global energy costs. The application of the EMS to a small test case has showed significant saves in the global energy bill by using typical Italian energy and fuel price data.

引用

页码：663 / 668

页数：6