优化电网连接微电网中的可持续能源管理,使用量子粒子群集优化来降低成本和减少排放
K Paul1, B Jyothi1, R Seshu Kumar2
1Electrical and Electronics Engineering, K L University (Deemed) Vaddeswaram, Vijayawada, India.
Scientific reports
|February 18, 2025
概括
这项研究介绍了微电网能源管理的量子粒子群优化 (QPSO),降低了9.67%的成本和13.23%的排放. QPSO为可持续和经济的微电网运营提供了有效的解决方案.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 环境科学 环境科学
背景情况:
- 全球能源部门正在向去中心化系统过渡,增加可再生能源的整合.
- 微电网中的有效能源管理对于效率和可持续性至关重要.
- 传统的优化方法面临着诸如复杂能源系统过早融合等挑战.
研究的目的:
- 开发一个新的多目标优化框架,用于连接到电网的微电网.
- 为了最大限度地降低运营成本和环境排放同时.
- 为了利用量子启发的优化来增强微电网管理.
主要方法:
- 实现一个量子粒子集群优化 (QPSO) 算法.
- 分析微电网配置,包括光伏电池板,风力轮机,传统能源和电池存储.
- 模拟经济和环境限制的经济调度场景.
主要成果:
- 在QPSO的运营成本下降了9.67% (节省了158.87欧元),碳排放减少了13.23% (达到513.70公斤二氧化碳等值). ) 的情况.
- 在受约束情景中,一个平衡的解决方案产生了174.11欧元的运营成本和401.63公斤的二氧化碳排放.
- 在各种微电网配置中验证了性能,包括标准低压设置.
结论:
- QPSO是优化微电网能源管理,平衡经济和环境目标的有效工具.
- 拟议的框架为现实世界的微电网应用提供了一个强大的方法.
- 像QPSO这样的先进优化技术对于推进可持续能源系统至关重要.
关键词:
分布式发电是一种分布式发电.减少排放 减少排放在MG-EMEM中使用.多目标优化多目标优化运营成本最小化 运营成本最小化这就是QPSO的QPSO.其他 RESs.可持续的电力系统 可持续的电力系统更多相关视频
10:36Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
Published on: November 3, 2023
1.4K
06:04Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
Published on: February 14, 2025
203
相关概念视频
Energy Conservation and Bernoulli's Equation
8.5K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
8.5K
Maxwell-Boltzmann Distribution: Problem Solving
1.4K
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
1.4K
Maximum Power Flow and Line Loadability
92
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.
92
Energy Budgets
9.2K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.2K
Maximum Power Transfer
217
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
By substituting the entire circuit with...
217
Conservation of Energy: Application
6.5K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
6.5K
