基于深度学习的太阳能预测,以在超快速充电站中实现最佳的光伏BESS尺寸.
K Lalbiakhlua1, Subhasish Deb2, Ksh Robert Singh1
1Department of Electrical Engineering, Mizoram University, Aizawl, Mizoram, India.
Scientific reports
|September 9, 2025
概括
将太阳能 (PV) 和电池存储 (BESS) 与超快充 (UFCS) 站相结合,显著提高了经济价值. 这种方法优化了使用深度学习预测和遗传算法的大小,减少了电网依赖.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 优化技术 优化技术
背景情况:
- 超快速充电站 (UFCS) 面临着高功率需求和电网依赖的挑战.
- 整合可再生能源对于可持续的电动汽车基础设施至关重要.
研究的目的:
- 为UFCS开发一个优化框架,用于测量光伏 (PV) 和电池储能系统 (BESS) 的尺寸.
- 通过可再生能源的整合,提高UFCS的技术经济可行性和电网独立性.
主要方法:
- 利用一个门式循环单元 (GRU) 深度学习模型进行准确的太阳能光伏输出预测.
- 采用基因算法 (GA) 来优化PV和BESS的大小,最大限度地提高净当前价值 (NPV).
- 分析了周日和周末的需求概况,以量身定制系统大小.
主要成果:
- 仅光伏集成就提高了6.19亿欧元的净净值.
- 结合光伏和BESS的整合将净净值提高到33.97亿欧元,达到34.05亿欧元,并预计降低成本.
- 可靠性指标 (ESR,AR) 证实了自给自足的增强和电网依赖的减少.
结论:
- 拟议的框架证明了混合可再生能源发电UFCS的重大技术经济潜力.
- 智能预测和进化优化是最大限度地利用光伏和BESS集成的好处的关键.
- 这种方法为可持续和独立于电网的超高速充电基础设施提供了可行的途径.
相关概念视频
Maxwell-Boltzmann Distribution: Problem Solving
2.8K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
2.8K
Fast Decoupled and DC Powerflow
730
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:
730
Maximum Power Flow and Line Loadability
594
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.
594
P-N junction
1.1K
A p-n junction is formed when p-type and n-type semiconductor materials are joined together. At the interface of the p-n junction, holes from the p-side and electrons from the n-side begin to diffuse into the opposite sides due to the concentration gradient. This diffusion of carriers leads to a region around the junction where there are no free charge carriers, known as the depletion region. The charge density within the depletion region for the n-side and p-side can be described by the...
1.1K
Ampere-Maxwell's Law: Problem-Solving
1.1K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.1K
Continuous Charge Distributions
7.9K
Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...
The electric charge can also be subjected to an analogical...
7.9K


