...
首页> 外文期刊>Neurocomputing >Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number
【24h】

Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number

机译:考虑不确定代理商人数的虚拟电厂双层最优调度

获取原文
获取原文并翻译 | 示例
           

摘要

In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Different from traditional power plants, VPP controls geographically distributed DER agents, which aggregate various local DER, such as small-scale engines, turbines or storages. Moreover, the number of DER Agents in VPP probably changes in pace with DER Agents plug in and plug out. In this paper, a distributed optimization algorithm is projected to solve VPP bi-level optimal dispatch considering uncertain agents number. Simulation results show that the proposed algorithm can effectively solve bi-level optimal dispatch with changing lower agents. (C) 2015 Elsevier B.V. All rights reserved.
机译:在智能电网中,虚拟电厂(VPP)是电网中分布式能源(DER)的一种新颖解决方案。与传统发电厂一样,VPP应根据来自电网控制中心的命令发电为电网供电。与传统发电厂不同,VPP控制地理上分布的DER代理,这些代理聚集了各种本地DER,例如小型发动机,涡轮机或存储。此外,随着DER Agent的插入和拔出,VPP中DER Agent的数量可能会发生变化。本文设计了一种分布式优化算法来解决考虑不确定代理人数的VPP双层最优调度问题。仿真结果表明,该算法能够有效地解决具有变化的下层代理的双层最优调度问题。 (C)2015 Elsevier B.V.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