Universal generating function based probabilistic production simulation for wind power integrated power systems
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- 作者：Tingchao JIN ; Ming ZHOU ; Gengyin LI
- 关键词：Universal generating function (UGF) ; Chronological characteristics ; Environment cost ; Multiple ; period multiple ; state wind power model ; Wind power accommodation
- 刊名：Journal of Modern Power Systems and Clean Energy
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：5
- 期：1
- 页码：134-141
- 全文大小：725KB
- 刊物主题：Energy Systems; Renewable and Green Energy; Power Electronics, Electrical Machines and Networks;
- 出版者：Springer Berlin Heidelberg
- ISSN：2196-5420
- 卷排序：5
文摘
According to the demand of sustainable development and low-carbon electricity, it is important to develop clean resources and optimize scheduling generation mix. Firstly, a novel method for probabilistic production simulation for wind power integrated power systems is proposed based on universal generating function (UGF), which completes the production simulation with the chronological wind power and load demand. Secondly, multiple-period multiple-state wind power model and multiple-state thermal unit power model are adopted, and both thermal power and wind power are coordinately scheduled by the comprehensive cost including economic cost and environmental cost. Furthermore, the accommodation and curtailment of wind power is synergistically considered according to the available regulation capability of conventional generators in operation. Finally, the proposed method is verified and compared with conventional convolution method in the improved IEEE-RTS 79 system.