A multi-objective Model for the Expansion Planning of future Power Generation Structures

被引：0
|
作者：
Oezalay, Baris [1 ]
Mueller, Christoph [2 ]
Schnettler, Armin [2 ]
机构：
[1] E Bridge Consulting, Bonn, Germany
[2] Rhein Westfal TH Aachen, Inst High Voltage Technol, Aachen, Germany
来源：
2016 51ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC) | 2016年
关键词：
generation expansion planning; regionalization; genetic algorithm; multi-objective; multi-period; sustainability;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The politically initiated energy turnaround in Germany changes the decision-making structures concerning the development of the future power generation sector. In this context a future energy system has to fulfill the principle of sustainability which is characterized by multiple criteria and diverse stakeholder interests. In this paper we propose a multi-period, multi-objective optimization method for the expansion planning, and regionalization of power generation structures for Germany. The expansion planning for fossil power plants is based on a Genetic Algorithm, while the problem for regionalization of renewable energies is solved by the Data Envelopment Analysis. The developed methods are described in detail and novel methodical approaches are presented. Finally exemplary results for the development of the German power generation sector are shown and discussed.
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页数：6
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