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

一种新颖的电力线路建模方法：动态线路额定值与温度相关线路模型结构的耦合

• 批准号: 1509681
• 负责人: Valentina Cecchi
• 金额: $ 25.72万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1509681&HistoricalAwards=false
• 关键词: Novel; Electric; Power; Line; Modeling

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.

随着电力需求的不断增长，加上连接到现有网络的可再生能源和分布式发电的大力推动和随后的增加，输电和配电线路目前的运行超出了其额定额定值。这使得电网越来越容易受到服务中断和停电的影响。鉴于基础设施升级面临的实际限制（主要是经济和监管），现有资产的优化利用至关重要。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。通过提高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包括环境条件在内的可用信息的模型，从而更准确地确定网络运行条件。拟议的工作将通过引入代表电力线路的创新方法来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、更高效和更具成本效益的电力输送。 该项目计划研究和制定与温度相关的输电线路模型的耦合，该模型能够利用动态线路额定技术来解释线路参数的纵向不均匀性，从而形成一种估计电力系统输电网络参数和模型结构的新方法。 这将提高网络负载能力和系统电压稳定性指数估计的准确性。该集成方法包括：（i）涉及温度相关线路模型结构的新网络建模技术，（ii）实用系统应用工具，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能力限制（离线和在线），以及（iii）性能评估和评估计划。这些研究活动将通过将环境条件纳入线路模型中的新自由度来提供研究电力系统的框架。重点是传输网络模型和系统传输能力限制的自适应确定。 具体来说，主要研究目标是：（i）分析研究与环境条件相关的电力线模型，包括由于外部条件梯度导致的线路参数纵向不均匀性，（ii）开发有效的系统应用工具，特别关注线路功率处理能力的估计，以及（iii）在行业合作者的指导下，在实验室环境以及现场验证和评估所得系统模型和应用工具的性能 测量数据。