应用新的多目标算法来运行水力发电厂的多水库系统
Syed Mohsen Samare Hashemi1, Amir Robati2, Mohammad Ali Kazerooni1
1Department of Civil Engineering, Islamic Azad University-Kerman Branch, Kerman, Iran.
Scientific reports
|February 13, 2024
概括
多目标人工蜂鸟算法 (MOAHA) 有效优化了复杂的水库运作,优于其他水电发电方法和卡河流域的需求供应.
科学领域:
- 优化算法的优化算法
- 水资源管理水资源的管理.
- 超启发式计算的超启发式计算
背景情况:
- 多目标优化对于水库管理等复杂系统至关重要.
- 通过探索决策空间,元启发式算法提供了强大的解决方案.
- 为了应对这些挑战,不断开发新的多目标算法.
研究的目的:
- 评估多目标人造蜂鸟算法 (MOAHA) 进行最佳水库运行.
- 使用基准函数比较MOAHA与MOMSA和MOMGA的性能.
- 评估MOAHA在一个大型,多目标的卡河流域水库系统中的有效性.
主要方法:
- MOAHA被应用于卡河流域水库系统的多目标运行 (卡4,3,1,Masjed-e-Soleyman,Gotvand Olia水).
- 使用标准的多目标基准函数 (Schaffer,MMF1) 和特定标准 (GD,S,Δ,MS) 和指数 (可靠性,弹性,脆弱性,可持续性) 评估绩效.
- 这些算法在180个月的运行期间 (2000年9月至2015年8月) 进行了测试.
主要成果:
- 在多目标优化问题上,MOAHA表现出强大的能力.
- 该算法在卡盆地系统中实现了至少1441.71个目标,平均每年水力发电量为17166.47吉瓦.
- 在大规模,1800维的卡伦盆地水库运行问题上,MOAHA显著超过了MOMSA和MOMGA.
结论:
- 在复杂的大规模多目标优化问题中,MOAHA表现出色.
- 该算法对于多水库系统的最佳运行非常有效,平衡水电发电,供水和洪水控制等竞争目标.
- MOAHA为先进的水资源管理提供了一个有前途的方法.
相关概念视频
Multiple Pipe Systems
754
Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
Series Configuration
In a series configuration, fluid flows sequentially from one pipe...
754
Multimachine Stability
153
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
153
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
47
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
47
Typical Model Studies
359
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
359
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
54
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...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
54
Design Example: Creating a Hydraulic Model of a Dam Spillway
171
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
171


