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相关概念视频

Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

432
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
432
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

656
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
656
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

113
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
113
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

66
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
66
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

219
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
219
Survival Tree01:19

Survival Tree

93
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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可靠性受约束的动态生成扩展计划使用蜂的算法.

Adel A Abou El Ela1, Ragab A El-Sehiemy2, Abdullah M Shaheen3

  • 1Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Shibîn el Kôm, Egypt.

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概括
此摘要是机器生成的。

本研究引入了使用蜂蜜子算法 (HBA) 进行产能扩展规划 (GEP) 的新框架,以优化技术组合,同时确保可靠性和降低成本.

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科学领域:

  • 优化优化 优化优化
  • 能源系统工程 能源系统工程
  • 计算智能是一种计算智能.

背景情况:

  • 生产扩展规划 (GEP) 是一个复杂的优化问题.
  • 现有的GEP模型面临着计算时间和搜索空间减少的挑战.

研究的目的:

  • 为多个阶段,可靠性受限制的GEP.提供一个新的框架.
  • 开发和应用一个新的元启发算法,蜂蜜子算法 (HBA),为GEP.

主要方法:

  • 一个可靠性受限制的GEP模型,最大限度地降低成本 (资本,运营和维护,停电) 并确保制储备和燃料组合.
  • 拟修改:虚拟映射,惩罚因子,智能初始人口.
  • 开发了一种新的蜂蜜子算法 (HBA),灵感来自动物的食行为.
  • 使用Crow Search,Aquila Optimizer, Bald Eagle Search和粒子优化进行比较分析.

主要成果:

  • 在解决可靠性受限制的GEP问题上,HBA证明了它的有效性.
  • 对比研究表明,HBA比其他测试的元启发式算法优越.
  • 该框架在短期和长期规划地平线 (6,12,24年) 上得到了验证.

结论:

  • 拟议的HBA是解决复杂GEP问题的优越和有效方法.
  • 新的框架成功地解决了多阶段,可靠性受限制的GEP.
  • 该研究为优化能源基础设施发展提供了有价值的工具.