一个用于低压配电网仿真中功率柔性分析的开源电网观测器

S. Fayed, F. V., Henrik Wagner, J. Rolink
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摘要

电压范围违规的存在对分散发电、存储容量或电动汽车普及率高的低压电网提出了挑战。如果未来要避免电网扩容,就需要在系统各组成部分之间进行广泛的信息交换,以提供最优的能源供应并保证运行要求。这可以通过建模能源系统组件和它们之间的通信来详细研究,这是“未来能源实验室”研究项目的目标之一。在项目期间,对德国样本地区的高度集成应用场景进行了模拟和深入分析。为了检测和纠正电网各母线的电压范围违规,开发了一个开源的电网观察者工具,并在一个居住区的准动态能源系统仿真中作为一个灵活性特征进行了测试。它允许各种模拟场景之间的广泛兼容性,因为它根据预定义的灵活性,例如功率类型(有功或无功),灵活性组件(例如发电和存储)和注入增量,为所考虑的总线提供功率控制建议。采用电压敏感性分析理论的两种方法计算了修正量。对这三种方法的鲁棒性、精度和计算速度进行了比较,这是该类仿真中需要考虑的重要性能因素。该工具的功能在电动汽车充电的临时峰值负载或分布式光伏发电的高份额的场景中得到了验证。
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An Open Source Grid Observer for the Analysis of Power Flexibilities in Low Voltage Distribution Grid Simulations
The existence of voltage range violations represents a challenge in low voltage grids with a high penetration of decentralized generation, storage capacities or electro-mobility. If grid expansion is to be avoided in the future, an extensive information exchange between the system’s components is required to provide an optimal energy supply and guarantee operating requirements. This can be studied in details by modelling the energy system components and the communication between them, which is one of the aims of the research project "Future Energy Laboratories". Highly integrated application scenarios for sample districts in Germany are simulated and thoroughly analysed during the project. For the detection and correction of voltage range violations at individual buses of a grid, an Open Source Grid Observer tool was developed and tested as a flexibility feature in a quasi-dynamic energy system simulation of a residential district. It allows a wide range of compatibility between various simulation scenarios, as it gives recommendations for power control at considered buses according to predefined flexibilities, such as the type of power (active or reactive), flexibility components (e.g. generation and storage) and injection increment. The corrections were calculated using two methods of the voltage sensitivity analysis theory. A comparison between the methods’ robustness, accuracy and calculation speed is presented, being important performance factors to be considered in this kind of simulations. The functionality of the tool is demonstrated in scenarios with temporary peak loads from electric vehicle charging or a high share of distributed photovoltaic power generation.
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