首页> 外文期刊>Journal of electrical and computer engineering >Optimal Connection of Offshore Wind Farm with Maximization of Wind Capacity to Power Systems considering Losses and Security Constraints
【24h】

Optimal Connection of Offshore Wind Farm with Maximization of Wind Capacity to Power Systems considering Losses and Security Constraints

机译:考虑损失和安全限制的电力系统最大化风电场的最佳连接

获取原文
获取原文并翻译 | 示例
           

摘要

The technical, economic, and environmental constraints related to the construction of new transmission lines are complex issues related to the definition of points for connecting new offshore wind farms (OWFs) to the grid. In this context, it has become an important research topic to choose the best OWF connection point to a power system, among some geographically close to each other within a given region, aiming at ensuring maximum generation capacity of the wind farm and safe use of existing transmission network The objective of this work is to present a methodology to determine the optimal OWF connection point in a power system, with maximum penetration of firm wind power and minimum loss, considering security constraints related to the "N - 1" contingency criterion, exchange limits between areas, and a strategy to reduce the number of constraints in the optimization problem. 'the algorithm is modeled using a Mixed Integer Nonlinear Programming (MINLP), and it is evaluated in a tutorial system and three well-known other networks from literature: IEEE 14-Bus, IEEE RTS-79, and Southern Brazilian System.
机译:与新传输线建造相关的技术,经济和环境限制是与将新的海上风电场(OWF)连接到网格的点的复杂问题。在这种情况下,它已成为选择最佳OWF连接点到电力系统的重要研究主题,其中一些地理位置在给定区域内彼此的地理位置靠近,旨在确保风电场的最大发电能力和安全使用现有传输网络本作品的目的是介绍一种方法来确定电力系统中最佳OWF连接点,最大限度地渗透到坚固的风电和最小损失,考虑到与“N-1”应急标准,交换相关的安全约束区域之间的限制,以及减少优化问题中的约束次数的策略。 “算法使用混合整数非线性编程(MINLP)进行建模,并且在教程系统中进行评估,以及来自文献的三个知名其他网络:IEEE 14-BUR,IEEE RTS-79和巴西南部系统。

著录项

  • 来源
    《Journal of electrical and computer engineering》 |2019年第1期|7374287.1-7374287.14|共14页
  • 作者单位

    Fed Univ Juiz De Fora UFJF Dept Elect Engn BR-36036900 Juiz De Fora MG Brazil|Fed Inst Northern Minas Gerais IFNMG Dept Elect Engn BR-39404058 Montes Claros MG Brazil;

    Fed Univ Juiz De Fora UFJF Dept Elect Engn BR-36036900 Juiz De Fora MG Brazil;

    Fed Univ Juiz De Fora UFJF Dept Elect Engn BR-36036900 Juiz De Fora MG Brazil;

    Fed Univ Juiz De Fora UFJF Dept Elect Engn BR-36036900 Juiz De Fora MG Brazil;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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