A Novel Electric Power Line Modeling Approach: Coupling of Dynamic Line Ratings with Temperature-Dependent Line Model Structures

随着对电力需求的不断增长，以及对连接到现有网络的可再生和分布式发电的大力推动和随后的增加，输电和配电线路现在的运行超出了其标称额定值。这使得电网越来越容易受到服务中断和停电的影响。鉴于对基础设施升级的实际限制（主要是经济和监管方面的限制），优化利用现有资产至关重要。因此，必须准确确定网络运行条件，以便优化系统的规划和运行。通过增加电力线模型的详细程度，并删除选定的历史建模假设，该项目旨在开发考虑到包括环境条件在内的可用信息的模型，以更准确地确定网络运行条件。拟议的工作将通过引入创新的方式来表示电力线，从而丰富电力和能源系统领域，这不仅会影响公用事业和调度员，还会影响消费者。该项目的关键预期成果之一是更准确地确定线路功率处理能力，从而优化现有输电和配电资产的使用，从而实现更可靠、高效和具有成本效益的电力输送。 本项目计划研究和制定耦合的温度依赖性传输线模型，能够占纵向非均匀性的线路参数，与动态线路额定技术，导致一种新的方法来估计输电网络参数和模型结构的电力系统。 这将导致网络负载能力和系统电压稳定性指标的估计的准确性增加。综合办法包括：（i）一种新的网络建模技术，包括温度相关的线路模型结构，（ii）一种实用的系统应用工具，利用自适应线路模型和动态线路额定值来更好地估计传输容量限制（离线和在线），以及（iii）性能评估和评估计划。这些研究活动将提供一个框架，通过将环境条件作为新的自由度纳入线路模型来研究电力系统。重点将放在传输网络模型和系统传输能力限制的自适应确定。 具体而言，主要研究目标是：（i）分析研究依赖于环境条件的电力线模型，包括由于外部条件梯度引起的线路参数的纵向不均匀性，（ii）开发有效的系统应用工具，特别注意线路功率处理能力的估计，以及（iii）在行业合作者的指导下，在实验室环境中以及根据现场测量数据验证和评估所得系统模型和应用工具的性能。

With the ever-increasing demand for electric power, in conjunction with the significant push for and subsequent increase in renewable and distributed generation connected to the existing network, transmission and distribution lines are now operating beyond their nominal ratings. This makes the electric power grid increasingly vulnerable to service interruptions and blackouts. Given practical limitations posed on infrastructure upgrading (mainly economical and regulatory), the optimized use of the existing assets is of paramount importance. It is then essential to accurately determine network operating conditions, allowing for optimized planning and operation of the system. By increasing the level of detail in the electric power line models, and removing select historical modeling assumptions, this project aims at developing models that take into account available information including ambient conditions, to result in more accurate determination of the network operating conditions. The proposed work will enrich the power and energy systems field by introducing innovative ways to represent electric power lines, which will impact not only utilities and dispatchers, but also consumers. One of the critical expected outcomes of this project is the more accurate determination of line power handling capabilities, which results in optimized use of existing transmission and distribution assets, allowing for more reliable, efficient and cost-effective delivery of electricity. This project plans to investigate and formulate the coupling of temperature-dependent transmission line models that are able to account for longitudinal non-uniformities in line parameters, with dynamic line rating techniques, leading to a novel methodology to estimate transmission network parameter and model structure of an electric power system. This would result in increased accuracy in estimates of network loading capabilities and system voltage stability indices. The integrated approach comprises: (i) a new network modeling technique involving temperature-dependent line model structures, (ii) a practical system application tool that utilizes the adaptive line models and dynamic line ratings to better estimate transfer capability limits (both off-line and on-line), and (iii) a performance evaluation and assessment plan. These research activities will provide a framework to study electric power systems by incorporating environmental conditions as new degrees of freedom in the line models. The focus will be on adaptive determination of transmission network models and of system transfer capability limits. Specifically, the main research goals are to: (i) analytically investigate ambient condition-dependent power line models, including longitudinal non-uniformity in line parameters due to gradients in external conditions, (ii) develop effective system applications tools, with special attention to the estimation of line power handling capabilities, and (iii) under the guidance of industry collaborators, validate and evaluate the performance of resulting system models and application tools in a laboratory setting as well as against field measurement data.