Automated System Operating Limit determination with Remedial Actions at CAISO using Python

A. Alam, D. Subakti
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引用次数: 2

Abstract

Determining transfer limits into California over significant bulk electric system transmission corridors is an integral part of operations planning, outage management and real-time operations in the event of contingencies or forced outages at California ISO (CAISO). These time consuming analyses are complicated by the need to model contingencies that change based on various Remedial Action Schemes actions that could occur and change due to system conditions, interface or path flows, generating-pumping conditions and also change while stressing paths to determine SOLs. This paper presents the design and implementation of a comprehensive framework using Python and GE Positive Sequence Load Flow (PSLF) to automate System Operating Limits determination based on thermal and voltage criterion for offline operations planning and outage studies and for obtaining path SOLs based on system conditions.
使用Python在CAISO上自动确定系统操作极限和补救措施
确定通过重要的大容量电力系统传输走廊向加利福尼亚的传输限制是加利福尼亚ISO (CAISO)在突发事件或强制停电情况下的运营计划、停电管理和实时运营的组成部分。这些耗时的分析由于需要建模突发事件而变得复杂,突发事件会根据各种补救措施方案发生变化,这些措施可能会因系统条件、界面或路径流动、发电泵送条件而发生变化,并且在强调路径以确定sol时也会发生变化。本文介绍了使用Python和GE正序负载流(PSLF)的综合框架的设计和实现,该框架基于热和电压标准自动确定系统运行限值,用于离线运行规划和停机研究,并根据系统条件获得路径SOLs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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