...
首页> 外文期刊>Energy >Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach
【24h】

Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach

机译:鲁棒优化方法在放松管制的电力市场中商用压缩空气储能的最优报价和提供策略

获取原文
获取原文并翻译 | 示例
           

摘要

Nowadays, severe uncertainty of electricity market price is a challenge issue in power systems that market players are faced. As one of market players, merchant compressed air energy storage system can be studied to investigate how energy is purchased/sold in the presence of electricity market price uncertainty. Therefore, this paper proposes, robust optimization approach is employed to achieve the offering and bidding curves of compressed air energy storage which should be submitted to the pool market. In the proposed method, the minimum and maximum amounts of electricity market prices are considered instead of the forecasted prices which allows formulating a collection of robust mixed-integer linear programming problem problems. The offering and bidding curves of compressed air energy storage are obtained based on sufficient data from results of these problems to be offered to the market operator. A case study is used to show the performance of proposed method. (C) 2017 Elsevier Ltd. All rights reserved.
机译:如今,电力市场价格的严重不确定性已成为市场参与者所面对的电力系统中的一个挑战性问题。作为市场参与者之一,可以研究商人压缩空气储能系统,以研究在电力市场价格不确定的情况下如何购买/出售能源。因此,本文提出,采用鲁棒的优化方法来获得应提交给泳池市场的压缩空气储能的报价曲线。在所提出的方法中,考虑了电力市场价格的最小和最大数量,而不是预测价格,这使得可以制定鲁棒的混合整数线性规划问题的集合。压缩空气储能的报价曲线和投标曲线是基于将这些问题的结果提供给市场运营商的充分数据而获得的。案例研究表明了该方法的有效性。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号