Integrating Polynomial Chaos Expansion Method into DSATools for the Assessment of Probabilistic Available Transfer Capability******

将多项式混沌展开法集成到 DSATools 中以评估概率可用传输能力******

• 批准号: 536988-2018
• 负责人: Wang, Xiaozhe
• 金额: $ 1.82万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=668163
• 关键词: Integrating; Polynomial; Chaos; Expansion; Method

DSATools is a suite of power system analysis tools providing the capabilities for a complete assessment of system security and stability. DSATools is beyond all doubt a leader in the field because of its rich modelling capabilities, advanced computational methods, and comprehensive features. However, as the renewable energy sources (RES) continue penetrating into the power grid, it is of paramount importance to move from the conventional deterministic analysis framework to a probabilistic one so as to investigate the impacts of randomness brought about by various RES (e.g., wind and solar). Indeed, the randomness of RES may result in a big reduction in the available delivery/transfer capability of a power system. This project aims to integrate the polynomial chaos expansion (PCE) method with the Voltage Security Assessment Tool (VSAT), a core toolset of DSATools, to assess the probabilistic available transfer capability (ATC) of power systems efficiently and accurately. The outcomes of the project will not only enable DSATools to conveniently incorporate the uncertainty of RES generations and loads into the assessment of ATC, but also provide the users with essential information about the probabilistic characteristics (mean, variance, probabilistic density function, etc.) of ATC. Such important information will assist the users in determining the ATC in a more efficient manner to fully utilize the transmission assets while maintaining the security of the grid.****

DSATOOLS是一套电力系统分析工具套件，提供了对系统安全和稳定性进行完整评估的功能。 DSATOOLS毫无疑问，由于其丰富的建模功能，先进的计算方法和全面的功能，该领域的领导者是该领域的领导者。但是，随着可再生能源（RES）继续渗透到功率网格中，从传统的确定性分析框架转变为概率的重要性至关重要，以研究各种RES带来的随机性影响（例如，风和太阳能）。实际上，RES的随机性可能会导致电源系统的可用输送/传输能力大大降低。该项目旨在将多项式混乱扩展（PCE）方法与DSATOOLS的核心工具集（VSAT）相结合，以评估电力系统的概率可用传输能力（ATC）有效且准确，准确地。该项目的结果不仅将使DSATOOLS便于将Res Generations和Load的不确定性纳入ATC的评估，而且还为用户提供了有关ATC的概率特征（均值，方差，概率，概率，概率密度函数等）的基本信息。这样的重要信息将帮助用户以更有效的方式确定ATC，以充分利用传输资产，同时保持电网的安全性。****