...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Energy >Multi-objective optimization and decision making for power dispatch of a large-scale integrated energy system with distributed DHCs embedded
【24h】

Multi-objective optimization and decision making for power dispatch of a large-scale integrated energy system with distributed DHCs embedded

机译：具有嵌入式DHC的大规模集成能源系统的电力分配多目标优化与决策

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

This paper presents the study of a large-scale integrated energy system (LSIES) consisting of distributed district heating and cooling units (DHCs) and wind power generation interconnected via a power grid. A multi-objective group search optimizer with adaptive covariance and Levy flights (MGSO-ACL) is developed to optimize the power dispatch of the LSIES with the selected objectives compromising the competing benefits of both the power grid and the DHCs. Furthermore, a decision making method based on an evidential reasoning (ER) approach is used to determine a final optimal solution from the Pareto-optimal solutions obtained by the MGSO-ACL The ER takes into account both the multiple objectives and the multiple evaluation criteria representing the economy and reliability interests of the power grid and the DHCs. Simulation studies are conducted on an IEEE 30-bus system, which is modified to include distributed DHCs and wind power generation, to verify the effectiveness of the MGSO-ACL and ER. The results demonstrate that the MGSO-ACL can obtain superior Pareto-optimal solutions in terms of convergence and diversity, and the ER is pragmatic in handling the complex decision making problem, in particular for determining the final optimal solution of the power dispatch of the LSIES. (C) 2015 Elsevier Ltd. All rights reserved.
机译：本文介绍了一个大型综合能源系统（LSIES）的研究，该系统由分布式区域供热和制冷单元（DHC）和通过电网互连的风力发电组成。开发了具有自适应协方差和征费飞行（MGSO-ACL）的多目标群体搜索优化器，以优化LSIES的功率分配，而所选目标却损害了电网和DHC的竞争优势。此外，基于证据推理（ER）方法的决策方法用于从MGSO-ACL获得的帕累托最优解中确定最终的最优解。ER既考虑了多个目标又表示了多个评估标准电网和DHC的经济性和可靠性利益。在IEEE 30总线系统上进行了仿真研究，该系统经过修改以包括分布式DHC和风力发电，以验证MGSO-ACL和ER的有效性。结果表明，MGSO-ACL可以在收敛性和多样性方面获得较好的帕累托最优解，并且ER在处理复杂决策问题时务实，特别是对于确定LSIES的功率分配的最终最优解。 （C）2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Energy》 |2015年第15期|369-379|共11页
  • 作者

    Zheng J. H.; Chen J. J.; Wu Q. H.; Jing Z. X.;

  • 作者单位

    S China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China;

    S China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China;

    S China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China|Univ Liverpool, Dept Elect & Elect Engn, Liverpool L69 3GJ, Merseyside, England;

    S China Univ Technol, Sch Elect Power Engn, Guangzhou 510640, Guangdong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Integrated energy system; District heating and cooling; Power dispatch; Multi-objective optimization; Decision making;

    机译：集成能源系统;分区供暖和制冷;电力分配;多目标优化;决策制定;

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