...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Power and Energy Systems, CSEE Journal of >A scenario-based robust transmission network expansion planning method for consideration of wind power uncertainties
【24h】

A scenario-based robust transmission network expansion planning method for consideration of wind power uncertainties

机译：考虑风电不确定性的基于场景的鲁棒输电网络扩展规划方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper uses a novel scenario generation method for tackling the uncertainties of wind power in the transmission network expansion planning (TNEP) problem. A heuristic moment matching (HMM) method is first applied to generate the typical scenarios for capturing the stochastic features of wind power, including expectation, standard deviation, skewness, kurtosis, and correlation of multiple wind farms. Then, based on the typical scenarios, a robust TNEP problem is presented and formulated. The solution of the problem is robust against all the scenarios that represent the stochastic features of wind power. Three test systems are used to verify the HMM method and is compared against Taguchi???s Orthogonal Array (OA) method. The simulation results show that the HMM method has better performance than the OA method in terms of the trade-off between robustness and economy. Additionally, the main factors influencing the planning scheme are studied, including the number of scenarios, wind farm capacity, and penalty factors, which provide a reference for system operators choosing parameters.
机译：本文使用一种新颖的情景生成方法来解决输电网络扩展规划（TNEP）问题中风电的不确定性。首先，采用启发式矩匹配（HMM）方法来生成捕获风能随机特征的典型方案，包括期望值，标准差，偏度，峰度和多个风电场的相关性。然后，基于典型场景，提出并提出了鲁棒的TNEP问题。该问题的解决方案在代表风电随机特征的所有情况下均十分可靠。使用三个测试系统来验证HMM方法，并将其与Taguchi的正交阵列（OA）方法进行比较。仿真结果表明，在鲁棒性和经济性之间进行权衡，HMM方法比OA方法具有更好的性能。此外，研究了影响计划方案的主要因素，包括情景数量，风电场容量和惩罚因素，为系统运营商选择参数提供了参考。

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