Monte Carlo Planning Technique for Renewable Energy Sources

被引：0

作者：

Indulkar, C. S. ^{[1
]}

机构：

[1] B3 Gokul Soc, Baroda 390015, Gujarat, India

来源：

2008 JOINT INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON) AND IEEE POWER INDIA CONFERENCE, VOLS 1 AND 2 | 2008年

关键词：

Renewable energy technologies; Techno-economic constraints; Linear programming; Operation strategies;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints, and carbon dioxide emission factors, is described. The proposed method in a single study provides the proportion of the renewable energy sources for maximum generating capacity or lowest generation cost subject to lowest emission or to lowest capital cost.

引用

页码：800 / 806

页数：7

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