对电站进行多次缩放优化,考虑到可再生能源和电动汽车的不确定性
Lixia Zhou1, Bo Bo1, Po Yang1
1State Grid Jibei Electric Power Co., Ltd., Beijing, 100024, China.
Scientific reports
|October 3, 2025
概括
使用电动汽车 (EV) 和燃料电池汽车 (HFCV) 的混合动力发电站的新调度框架降低了成本和碳排放. 它通过管理可再生能源和需求的不确定性来优化运营.
科学领域:
- 可再生能源系统工程可再生能源系统工程
- 可持续的运输可持续的运输
- 运营研究 运营研究
背景情况:
- 新能源汽车,如电动汽车 (EV) 和燃料电池汽车 (HFCV) 是可持续发展和气候变化缓解的关键.
- 综合光伏 (PV) 发电和生产的混合动力发电站提供了效率提升,但由于不可预测的光伏发电和车辆需求,它们面临着调度复杂性.
研究的目的:
- 为混合动力电气-能电站开发一个多时间尺度调度框架.
- 通过解决光伏发电和EV/HFCV充电/加油需求的不确定性,尽量降低运营成本和碳排放.
- 提高电站运营的可靠性和经济效率.
主要方法:
- 实施一个多时间尺度调度框架,包括前一天和当天优化.
- 利用模糊的机会受限编程来管理光伏发电和负载需求的不确定性.
- 运用梯形和三角形成员函数来模糊量化预测.
主要成果:
- 实现了29.37%的碳排放减少和17.73%的年化成本降低,与前一天的日程安排相比.
- 通过实时跟踪光伏/负载波动和优化电解仪/燃料电池操作,证明了增强可再生能源利用率.
- 在更精细的时间分辨率上显示了改进的操作可靠性和经济效率,增加了信任水平.
结论:
- 拟议的多时间尺度调度框架有效地管理光伏发电和负载需求的短期波动.
- 模糊方法使得可靠的运营风险量化,平衡经济目标与可靠性要求.
- 这种方法对于优化将可再生能源纳入未来运输能源基础设施至关重要.
相关概念视频
01:24Fast Decoupled and DC Powerflow
726
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:
726
01:25Multimachine Stability
544
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:
544
01:26The Power Flow Problem and Solution
836
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 power flow program computes...
836
01:23Maximum Power Flow and Line Loadability
589
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.
589
01:21Distributed Loads: Problem Solving
1.1K
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...
1.1K
01:28Load-frequency control
620
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
620