• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Stochastic optimization for power management in radial distribution networks with renewable photovoltaic generation.
【24h】

Stochastic optimization for power management in radial distribution networks with renewable photovoltaic generation.

机译：具有可再生光伏发电的径向配电网中电源管理的随机优化。

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

The stochastic nature of solar renewable power poses challenges in distribution networks with high-penetration photovoltaic (PV) generation in terms of maintaining adequate generation to satisfy end-users as well as accomplishing voltage regulation. However, real power control of modern programmable electric loads and reactive power compensation from the power electronic interfaces of PV generators offer opportunities to overcome these challenges to eventually achieve customer satisfaction and minimize costs for the operation of distribution systems. To cope with the random and intermittent nature of solar generation, this thesis introduces a stochastic optimization model for real and reactive power management in such distribution systems with a large number of residential-scale PV generation units. Decision variables include demand response schedules of programmable loads, as well as reactive power consumption or generation by the PV inverters in a fashion adaptive to the uncertain real power generation. Voltage regulation is also addressed in the stochastic optimization framework through enforcement of suitable constraints or using principles of risk-averse optimization. A decentralized solver based on the alternating direction method of multipliers (ADMM) is also developed featuring closed-form updates per node and communication only between neighboring nodes. Numerical tests are provided to demonstrate the superior performance of applying this stochastic optimization model for power management in large distribution networks compared to other proposed schemes in the literature.
机译：太阳能可再生能源的随机性在维持高发电量以满足最终用户以及完成电压调节方面，对具有高渗透率光伏（PV）发电的配电网络提出了挑战。但是，现代可编程电力负载的有功功率控制和来自PV发电机功率电子接口的无功功率补偿为克服这些挑战提供了机会，从而最终实现了客户满意度并使配电系统的运营成本最小化。为了应对太阳能发电的随机性和间歇性，本文引入了具有大量居民规模光伏发电装置的此类配电系统中有功和无功功率管理的随机优化模型。决策变量包括可编程负载的需求响应计划，以及无功功率消耗或光伏逆变器以适应不确定的实际发电的方式发电。通过执行适当的约束或使用规避风险的原理，随机优化框架中也可以解决电压调节问题。还开发了一种基于乘法器交替方向方法（ADMM）的分散求解器，该算法的特征是每个节点的闭式更新和仅相邻节点之间的通信。与文献中其他提出的方案相比，提供了数值测试，以证明在大型配电网中应用此随机优化模型进行电源管理的优越性能。

著录项

  • 作者

    Bazrafshan, Mohammadhafez.;

  • 作者单位

    The University of Texas at San Antonio.;

  • 授予单位 The University of Texas at San Antonio.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2014
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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