基于知识映射的多回路复杂电网区间潮流计算算法分析

Y. Wang
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引用次数: 0

摘要

高比例的新能源不断入网,加剧了电力系统不确定性的复杂性,使得传统的单点确定性潮流计算越来越难以满足电力系统规划调度的需要。区间潮流是一种基于区间算法的不确定潮流计算方法,其特点是只关注不确定性的边界信息,特别适用于高比例、高渗透率新能源并网的不确定潮流计算。本文分析了现有主流知识表示形式对潮流调节人工经验知识表达能力的不足,充分考虑了潮流调节过程中所需的人工经验知识中定性知识与定量知识相结合、相关知识与理性知识相结合的特点;并构建了潮流调节领域的知识图谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Interval Flow Calculation Algorithm of Multi-Loop Complex Power Network Based on Knowledge Mapping
The continuous integration of high proportion of new energy into the power grid has exacerbated the complexity of the uncertainty of the power system, making the traditional single-point deterministic power flow calculation increasingly difficult to meet the needs of power system planning and dispatching. Interval power flow is an uncertain power flow calculation method based on interval algorithm, which is characterized by only paying attention to the boundary information of the uncertainty, and is especially suitable for the uncertain power flow calculation of high proportion and high permeability new energy connected to the grid. This paper analyzes the shortcomings of the existing mainstream knowledge representation forms for the expression ability of artificial empirical knowledge of power flow adjustment, fully considers the characteristics of the combination of qualitative knowledge and quantitative knowledge in the artificial empirical knowledge required in the process of power flow adjustment, and the combination of related knowledge and rational knowledge, and constructs a knowledge map in the field of power flow adjustment.
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