...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Multiagent study of smart grid customers with neighborhood electricity trading
【24h】

Multiagent study of smart grid customers with neighborhood electricity trading

机译：通过邻里电力交易对智能电网客户进行多主体研究

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 smart grid of the future may equip customers with distributed generation and storage systems that can change their overall demand behavior. Indeed, the smart grid's infrastructure provides new opportunities for the grid and its customers to exchange information regarding real-time electricity rates and demand profiles. Here we report on innovative agent-based modeling and simulation of a smart grid where active customers are modeled as self-interested, autonomous agents with their own specific load profiles and generation/storage capacities. They may choose to use locally generated power, charge/discharge their batteries, and manipulate their loads. A unique scenario for the customers analyzed for this paper is one in which customers are allowed to trade electricity within their neighborhood in order to minimize their electricity costs. Meanwhile, the grid prefers an overall uniform demand from all customers. To achieve this, we propose an effective demand flattening management scheme for the customers. A model of the active customers within the smart grid environment is used to determine the impact of the neighborhood power transactions, demand diversity, and load shifting on the customers and the utility. A number of case studies and sensitivity analyses have determined how and to what extent these parameters affect customer electricity costs and power system metrics.
机译：未来的智能电网可以为客户配备可以改变其总体需求行为的分布式发电和存储系统。确实，智能电网的基础设施为电网及其客户提供了交换有关实时电价和需求概况的信息的新机会。在这里，我们报告了基于智能代理的基于代理的创新建模和仿真，在该模型中，活跃客户被建模为具有自身特定负载配置文件和发电/存储容量的自利，自治代理。他们可以选择使用本地产生的电力，对电池充电/放电以及操纵负载。对于本文分析的客户而言，一种独特的情况是允许客户在附近进行电力交易以最大程度地减少用电成本。同时，电网偏爱所有客户的总体需求统一。为此，我们为客户提出了有效的需求扁平化管理方案。智能电网环境中活动客户的模型用于确定邻域电力交易，需求多样性和负荷转移对客户和公用事业的影响。许多案例研究和敏感性分析已确定这些参数如何以及在多大程度上影响客户的电费和电力系统指标。

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