首页> 外文期刊>Electric Power Components and Systems >Multi-Agent-Based Forecast Update Methods for Profit Enhancement of Intermittent Distributed Generators in a Smart Microgrid
【24h】

Multi-Agent-Based Forecast Update Methods for Profit Enhancement of Intermittent Distributed Generators in a Smart Microgrid

机译:基于多Agent的智能微电网间歇式分布式发电利润提升的预测更新方法

获取原文
获取原文并翻译 | 示例
           

摘要

Uncertainty in generation from intermittent sources makes a strong case to have effective forecasting methods. However, errors in forecast lead to losses to the distributed generation (DG) owners. In this article, multi-agent-based forecast update methods are proposed which minimize the forecast errors. The effectiveness of the proposed methods in enhancing the profit of intermittent generators and microgrid operational cost is analyzed using a microgrid with two scenarios, namely simple ownership and multiple ownership. A modified IEEE 13 bus system is used as the case study system and the system simulation for the microgrid is performed on the OpenDSS platform and the proposed multi-agent system is developed using JAVA Agent DEvelopment (JADE) framework. From the simulation results, the proposed approaches are found effective in increasing profit margins for the investors or owners of the DGs.
机译:来自间歇性来源的发电不确定性有力的依据是拥有有效的预测方法。但是,预测中的错误会导致分布式发电(DG)所有者的损失。本文提出了一种基于多主体的预测更新方法,该方法可以最大程度地减少预测误差。使用具有两种情况的微电网分析了所提方法在提高间歇式发电机的利润和微电网运营成本方面的有效性,这两种情况分别是简单所有权和多重所有权。以改进的IEEE 13总线系统为案例研究系统,并在OpenDSS平台上对微电网进行了系统仿真,并使用JAVA代理开发(JADE)框架开发了所提出的多代理系统。从仿真结果可以看出,建议的方法可以有效地提高DG的投资者或所有者的利润率。

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