多能虚拟发电厂的优化调度模型,考虑到不确定性约束和多能合特性
Jia Lu1, Junjie Wang2, Jijun Liu1
1Department of Electronic Engineering, Taiyuan Institute of Technology, Taiyuan, Shanxi, China.
PloS one
|March 3, 2026
概括
本研究介绍了一种多能虚拟发电厂 (MEVPP) 模型,在不确定性下优化电,热和运行. 这种新的方法大大减少了二氧化碳排放和运营成本,帮助低碳能源转型.
科学领域:
- 能源系统工程 能源系统工程
- 优化理论 优化理论
- 环境科学 环境科学
背景情况:
- 现有的虚拟发电厂 (VPP) 研究缺乏整合多能源 (电力,热量,,碳) 合和强大的不确定性处理.
- 在不确定的条件下,VPPs的调度策略需要改进,以实现全面的能源管理.
研究的目的:
- 为多能虚拟发电厂 (MEVPP) 开发一个优化调度模型,解决多能合和不确定性.
- 实现跨电,热,和碳领域的多能源协同效应和灵活合运行.
主要方法:
- 提出了一个统一的随机VPP调度框架,整合了生物质共燃碳捕获发电厂 (BCCPP),电到氨 (P2A) 和尿素合成.
- 使用拉丁超立方采样 (LHS) 来生成场景,以制定一个随机调度模型.
- 优化了模型,以最大限度地提高预期的总系统收入,考虑到风能和太阳能不确定性.
主要成果:
- 与没有碳捕获的基线相比,MEVPP模型减少了38.5%的二氧化碳排放和75.1%的总成本.
- 最佳情景实现了显著的减排:二氧化碳排放量从10,000降至6,150,成本从80万美元降至199,200美元.
- 灵敏度分析表明,通过调整的碳交易价格,通过调整的碳交易价格,可能减少30-38%的排放量.
结论:
- 拟议的MEVPP模型有效地整合了多能源合和不确定性,以加强VPP运行.
- 研究结果为推进低碳能源转型和实现双碳目标提供了实际见解.
- 该模型展示了结合碳捕获和多能源系统的经济和环境效益.
相关概念视频
Potential-Energy Criterion for Equilibrium
1.1K
Potential energy or potential function plays an essential role in determining the stability of a mechanical system. If a system is subjected to both gravitational and elastic forces, the potential function of the system can be expressed as the algebraic sum of gravitational and elastic potential energy. If the system is in equilibrium and is displaced by a small amount, then the work done on the system equals the negative of the change in the system's potential energy from the initial to the...
1.1K
Energy Conservation and Bernoulli's Equation
7.2K
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...
7.2K
Maximum Power Flow and Line Loadability
783
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.
783
Fast Decoupled and DC Powerflow
963
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:
963
Simplified Synchronous Machine Model
1.0K
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
1.0K
Multimachine Stability
700
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:
700

