4.4 Article

Optimal multi-area generation schedule considering renewable resources mix: a real-time approach

期刊

IET GENERATION TRANSMISSION & DISTRIBUTION
卷 7, 期 9, 页码 1011-1026

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2012.0735

关键词

decomposition; hydrothermal power systems; power generation dispatch; power generation economics; power generation scheduling; power markets; power system interconnection; power system simulation; pricing; renewable energy sources; retailing; wind power plants; optimal multiarea generation scheduling; deregulated electricity market; retailer; multiarea dynamic economic dispatch model; MA-DED; hydrothermal generating unit; wind power generation; power pool market; energy pricing; scenario-based approach; uncertainty modelling; optimality condition decomposition technique; OCD; parallel computation ability; power network interconnection; undispatchable renewable energy resource

向作者/读者索取更多资源

One of the key role players in deregulated electricity markets is a retailer. This study proposes a multi-area dynamic economic dispatch (MA-DED) model for a retailer, taking into account hydrothermal generating units, wind power generation and power pool market, to supply the overall demand of the system for a given horizon. The uncertainties in wind power generations, energy prices and demand of the system are also modelled to make the proposed approach more practical in case of real-time operation of practical power systems. Scenario-based approach is adopted for uncertainty modelling. In order to make the proposed MA-DED applicable in real-time operation of power systems, optimality condition decomposition (OCD) technique is employed along with parallel computation ability. The proposed approach is examined on two interconnected power networks, to demonstrate its applicability for real-time scheduling of joint thermal and undispatchable renewable energy resources. DED, multi-area, OCD, real-time, uncertainty modelling, scenario-based approach.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据