• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Power Systems Computation Conference >An Ambiguity-Averse Model for Planning the Transmission Grid Under Uncertainty on Renewable Distributed Generation
【24h】

An Ambiguity-Averse Model for Planning the Transmission Grid Under Uncertainty on Renewable Distributed Generation

机译：可再生分布式发电不确定性下输电网规划的模糊厌恶模型

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We present a Distributionally Robust Optimization (DRO) mathematical framework for addressing the Transmission Expansion Planning (TEP) problem that accounts for long-and short-term uncertainty for significant penetration of new renewable distributed energy resources (DER). We consider the case where the exact probability distribution of future DER is ambiguous, i.e., difficult to accurately estimate. The resulting DRO model is robust against all possible probability distribution functions that lie on an ambiguity set with partial information of the exact probability distribution. The proposed framework allows finding an optimal transmission expansion plan without relying on strong assumptions about exact probability distribution. Additionally, our proposed approach enables transmission planners to consider, within a DRO framework, the effect on the structure of short-term DER uncertainties due to the conditional information of different scenarios for the long-term trends. We illustrate the effectiveness of the proposed approach on the IEEE IIS-bus test system.
机译：我们提出了一种分布式稳健优化（DRO）数学框架，用于解决传输扩展规划（TEP）问题，该问题考虑了长期和短期的不确定性，从而极大地影响了新可再生分布式能源（DER）的渗透。我们考虑了未来DER的确切概率分布是模棱两可的情况，即难以准确估计的情况。所得的DRO模型对于所有可能的概率分布函数均具有鲁棒性，这些函数位于具有准确概率分布的部分信息的歧义集上。所提出的框架允许在不依赖于关于精确概率分布的强有力假设的情况下找到最佳的传输扩展计划。此外，我们提出的方法使输电规划人员能够在DRO框架内考虑由于长期趋势不同情况的条件信息而对短期DER不确定性结构的影响。我们说明了该方法在IEEE IIS总线测试系统上的有效性。

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