• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 IEEE PES Tamp;D Conference and Exposition >Optimum renewable generation capacities in a microgrid using generation adequacy study
【24h】

Optimum renewable generation capacities in a microgrid using generation adequacy study

机译：利用发电量充足性研究，微电网中的最佳可再生发电量

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

Microgrids, as small power systems, may be comprised of different types of loads and distributed generation. As the integration of renewable power generation increases, the total available generation capacity of the system will be more derated due to the effect of equipment failures and the intermittent nature of these resources. Therefore, it is critical to determine optimum renewable generation capacities and provide enough reserve margin to meet the target reliability of the microgrid. In this paper, we first model a microgrid, including conventional and renewable distributed generation and the loads. Second, we determine the renewable generation capacity required to meet growth in demand at a certain level of grid reliability through a generation adequacy study. Adequacy of the microgrid is evaluated using parameters such as loss of load probability (LOLP) and expected energy not served (EENS). Third, the impact of different conditions, such as wind speed diversity (captured by correlating the wind power output), a combination of wind and solar power, and load diversity, on generation adequacy is studied through sensitivity analyses. Finally, the optimum renewable generation capacities are determined such that the total cost of generation and unserved power is minimized. The optimization process is based on the particle swarm optimization (PSO) method which uses Monte Carlo (MC) simulation for generation adequacy studies in each iteration.
机译：微电网作为小型电力系统，可能包含不同类型的负载和分布式发电。随着可再生能源发电量的增加，由于设备故障的影响和这些资源的间歇性，系统的总可用发电量将进一步降低。因此，确定最佳的可再生能源发电能力并提供足够的储备余量以满足微电网的目标可靠性至关重要。在本文中，我们首先对微电网建模，包括常规和可再生分布式发电以及负荷。其次，我们通过发电量充足性研究确定在一定水平的电网可靠性下满足需求增长所需的可再生能源发电量。使用诸如负载概率损失（LOLP）和未提​​供预期能量（EENS）之类的参数评估微电网的充足性。第三，通过敏感性分析研究了不同条件的影响，例如风速分集（通过关联风能输出捕获），风能和太阳能的组合以及负载分集对发电充足性的影响。最后，确定最佳可再生能源发电量，以使总发电成本和未使用的电力最小化。优化过程基于粒子群优化（PSO）方法，该方法使用蒙特卡洛（MC）模拟进行每次迭代的发电充足性研究。

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