互联电网短路电流在线分析与优化决策方法
Online Analysis and Optimal Decision-making of Short-circuit Current in Interconnected Power Grids
杨欢欢 1杨君军 2徐伟 2邱建 1张建新 1许晓彤2
作者信息
- 1. 中国南方电网电力调度控制中心,广东省广州市 510623
- 2. 南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106;智能电网保护和运行控制国家重点实验室(南瑞集团有限公司(国网电力科学研究院有限公司)),江苏省 南京市 211106
- 折叠
摘要
在线分析技术是应对交直流电网短路电流超标和随机波动问题的重要手段.结合调度自动化系统的建模范围和实时数据采集情况,提出在线短路电流计算原则和超标判据;通过日前和实时短路电流多目标逐级优化决策,提升短路电流优化策略对电网时变性和复杂性的适应能力;构建在线短路电流分析和优化控制系统功能架构,通过调度端和厂站端功能集成实现短路电流可靠闭环控制.该方法实现了短路电流精细化分析、综合优化决策和精准闭环控制技术在实际电网的应用,通过对实际电网在线短路电流分析与优化控制系统运行结果的分析,验证了所述方法的有效性和实用性.
Abstract
The technology of online analysis is an important means to deal with the problem of the excessive short-circuit current and the random fluctuation in an AC/DC power grid.Combining the modeling scope and the real-time data acquisition of a dispatching automation system,the calculation principle of the online short-circuit current and the over-proof criterion are proposed.The multi-objective step-by-step optimization decision-making of the day-ahead and the real-time short-circuit currents is proposed,which improves the adaptability of the short-circuit current optimization strategies to the time-varying and complexity of the power grid.The functional architecture of the online short-circuit current analysis and optimization control system is constructed.By integrating the functions of the dispatching and the station terminals,the reliable closed-loop control of the short-circuit current is achieved.This method achieves the application of the refined analysis,the comprehensive optimization decision and the precise control of the short-circuit current in the actual power grid.The effectiveness and practicability of this method are verified by the analysis of the running results of the short-circuit current analysis and optimization control system in an actual power grid.
关键词
交直流电网/短路电流/在线分析/优化控制/功能架构Key words
AC/DC power grid/short-circuit current/online analysis/optimization control/functional architecture引用本文复制引用
基金项目
中国南方电网公司项目(2022030101XT00026)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据