Investigating Wind Generation Investment Indices in Multi-Stage Planning

被引：0

作者：

Valinejad, Jaber ^{[1
]}

Marzband, Mousa ^{[2
]}

Busawon, Krishna ^{[2
]}

Kyyra, Jorma ^{[3
]}

Pouresmaeil, Edris ^{[3
]}

机构：

[1] Virginia Tech, Bradley Dept Elect & Comp Engn, Falls Church, VA 22043 USA

[2] Northumbria Univ, Dept Phys & Elect Engn, Newcastle Upon Tyne, Tyne & Wear, England

[3] Aalto Univ, Dept Elect Engn & Automat, Espoo, Finland

来源：

2018 5TH INTERNATIONAL SYMPOSIUM ON ENVIRONMENT-FRIENDLY ENERGIES AND APPLICATIONS (EFEA) | 2018年

关键词：

capacity investment; power market; wind; dynamic planning; stochastic approach; SMART TRANSACTIVE ENERGY; ELECTRICITY MARKET; HOME-MICROGRIDS; POWER; MANAGEMENT; FRAMEWORK; DEMAND; SYSTEM;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at a multi-stage horizon. In this paper, the power system consists of a combination of fossil fuel technologies and Wind resources for investment. Demand is characterized by a certain number of demand blocks. The uncertainty of demand for each this block (for each time period of the curve) is determined by the scenario. Afterwards, the suggested model is converted to a mathematical programming with some equilibrium constraints. Following that, after linearization, a mixed integer linear program is obtained. This framework is examined on the IEEE RTS 24-bus network. The obtained simulation results confirm that this model can be appropriately used as a means to analyze the behavior of investments in wind and thermal units.

引用

页数：6

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