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  • 标题:Generation and transmission expansion management using grasshopper optimization algorithm
  • 本地全文:下载
  • 作者:Ponnambalam Suriya ; Srikrishna Subramanian ; Sivarajan Ganesan
  • 期刊名称:International Journal of Engineering Business Management
  • 印刷版ISSN:1847-9790
  • 电子版ISSN:1847-9790
  • 出版年度:2019
  • 卷号:11
  • DOI:10.1177/1847979018818320
  • 语种:English
  • 出版社:InTech
  • 摘要:This article explores how generation and transmission expansion plans (GTEPs) vary and become better suited for the accessibility of smart grid technology (SGT), essentially comprising load shifting, environmental assets and cost rebates. Demand response (DR) resources in smart grids have emerged in debates on GTEP, especially with respect to compromising system security. The planned model is designed as an innovative GTEP solution with DR resources that minimize cost by decreasing the peak load of the basic plan. A chaotic grasshopper optimization algorithm (CGOA) is used to optimize the results of the proposed GTEP model.
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