智能电网实时有功功率控制

A. Shobole, Mohammed Wadi, M. Tür, M. Baysal
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引用次数: 17

摘要

电力供需平衡对电网的可靠稳定运行至关重要。供给和需求之间的不匹配导致频率偏差,从而导致大多数电气设备故障。此外,它影响了系统的稳定性,导致了2003年美国的系统停电。几十年来,电力系统的供需平衡都是建立在发电侧控制的基础上,通过提前调度来实现的。如今,智能电网被用来描述自动快速隔离故障、恢复电力、监测需求、维护和恢复稳定以获得更可靠电力的技术和方法。因此,本研究提出了一种实时控制有功功率(供需平衡)的方法,该方法在智能电网中是可行的,因为它采用通信和先进的信息技术,可以实时交换发电、需求、存储、市场、环境等必要数据。这些数据对于智能电网的实时供需平衡决策非常重要。此外,在智能电网中,利用需求响应和存储系统的优势,可以实时平衡需求和供应。通过DigSilent Power Factory仿真工具进行了仿真,以验证所提出的方法。除了仿真工具的电气网络建模部分外,还使用DigSilent编程语言(DPL)功能对决策程序进行编码。
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Real time active power control in smart grid
A power balance between supply and demand is essential for reliable and stable operation of power grids. The mismatch between supply and demand causes the frequency deviations which results in malfunction of most of the electrical devices. Moreover, it affects the system stability resulting in system blackouts as that of USA, in 2003. For decades the balancing of supply and demand was based on generation side control of power systems through ahead of time generation dispatch scheduling. The smart grid is being used today to describe technologies and methods that automatically and rapidly isolate faults, restore power, monitor demand, and maintain and restore stability for more reliable electric power. Thus, in this study, a method of controlling active power (balancing demand and supply) in real time is proposed This method is feasible in smart grid as communication and advanced information technologies are used for real time data exchange about the generation, demand, storage, market, environmental conditions, and other necessary data. These data are important in making decisions about real-time supply and demand balancing in the smart grid. Additionally, in smart grid, taking the advantage of demand response and storage systems, it is possible to balance demand and supply in real-time The simulation is done by the DigSilent Power Factory simulation tool for verification of the proposed method. In addition to an electric network modeling part of the simulation tool, the DigSilent Programming Language (DPL) feature is used for coding the decision making program.
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