缓解能源市场负荷的实施

Jizhong Zhu, D. Hwang, A. Sadjadpour
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引用次数: 2

摘要

本文提出了一种缓解能源市场过载的实现方法。提出了一种基于实时网络分析(RTNET)、状态估计器(SE)、实时权变分析(RTCA)和能源管理系统(EMS)约束漂移因子(CSF)计算的缓解过载(AOL)方法。RTNET/SE通过状态估计器获取实时数据,捕捉实时数据并计算损失灵敏度。RTCA/CSF用于计算基本情况和停电情况下违反约束的发电机移位因子(或灵敏度)。将电网数据、损失敏感性和移位因子传递给LMP系统,用于调度机组,减轻约束违规。文中给出了AOL的实现和约束位移因子计算的试验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Implementation of Alleviating Overload in Energy Markets
This paper presents an implementation to alleviate the overload in the energy markets. The proposed alleviating overload (AOL) method is based on real time network analysis (RTNET), state estimator (SE), real time contingency analysis (RTCA), and the constraint shift factor (CSF) calculation in the energy management system (EMS). RTNET/SE is used to obtain real time data through state estimator and capture the real time data and compute loss sensitivities. RTCA/CSF is used to compute generator shift factors (or sensitivities) for the violated constraints both in base case and outage situations. The network data, loss sensitivities and the shift factors are passed to LMP system for dispatching the units and alleviating the constraints violations. The implementation of AOL and the test results for the constrained shift factor calculation are shown in the paper.
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