用MEWOA算法对各种负载模型的配电系统进行技术经济分析
Rinchen Zangmo1, Suresh Kumar Sudabattula2, Nagaraju Dharavat3
1School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara, 144411, Punjab, India.
Scientific reports
|March 11, 2025
概括
优化将分布式能源 (DER) 整合到配电系统 (DS) 中至关重要. 鱼优化算法的多目标进化 (MEWOA) 有效地优化了DER的放置和大小,提高了系统性能并降低了成本.
科学领域:
- 电气工程 电气工程
- 优化算法 优化算法
- 电力系统 电力系统
背景情况:
- 随着电力需求的增加,需要将分布式能源 (DER) 整合到配电系统 (DS) 中.
- 低于最佳的DER集成导致技术挑战,包括电源质量,稳定性,可靠性和电压管理问题.
- 有效的优化技术对于应对DER整合挑战至关重要.
研究的目的:
- 提出和评估鱼优化算法的多目标演变 (MEWOA) 以实现最佳的DER集成到DS.
- 为了提高电压配置,减少功率损失 (PLoss),并最大限度地降低运营成本.
- 为了证明MEWOA在现有优化算法上的优越性.
主要方法:
- 使用MEWOA,以捕策略为灵感,以优化DER的位置和尺寸.
- 考虑多个目标:电压变化,PLoss减少,以及运营成本.
- 在印度28巴和IEEE69巴配送系统上进行了广泛的模拟.
主要成果:
- 在整个配电系统的电压配置有显著的改进.
- 证明了PLoss的减少,从而节省了成本和创造了收入.
- 与GOA,DA和WOA相比,MEWOA表现出更快的融合和更优质的解决方案质量.
结论:
- MEWOA是一种成功且高效的优化技术,用于将DER集成到DS中.
- 拟议的方法提高了配电系统的性能,降低了运营费用,并减轻了对环境的影响.
- 使用MEWOA优化DER集成带来了提高电力系统效率和经济效益.
关键词:
年度经济损失.分布式能源资源 (Distributed Energy Resources,简称DER) 是指分布式的能源资源.梅沃亚 (Mewoa) 是一种植物.电力损失 输电 输电 输电电压配置文件 电压配置文件电压稳定性指数 (VSI) 是电压稳定性的指数.更多相关视频
相关概念视频
01:23Maximum Power Flow and Line Loadability
91
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
91
01:21Distributed Loads: Problem Solving
609
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...
609
01:25Multimachine Stability
129
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:
129
01:19Distributed Loads
491
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
491
01:26The Power Flow Problem and Solution
148
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...
148
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
38
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...
38