Automatic determination of parameters in dynamic load models from normal operation data
Automatic determination of parameters in dynamic load models from normal operation data
复制标题
根据正常运行数据自动确定动态负载模型中的参数
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Sture Lindahl
中科院分区：
文献类型：
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作者：
Romero Navarro;O. Samuelsson;Sture Lindahl
经济和环境方面的担忧将减缓许多国家输电系统的扩张。电力供应的解除管制将在大容量输电系统上引入新的潮流模式。最终的结果是，电力系统将在更接近其传输限制的情况下运行，并且在那里运行的时间将比所需的时间长得多。电压崩溃的风险决定了许多大容量输电系统的传输限制。负载行为的记录直接提供有关操作条件的信息。这一信息的适用性可用于确定转移限额、最大转移能力和计算安全限额。主要的挑战是如何管理一个能够识别负荷时变参数的在线实用程序，以及如何处理这些信息以使其在在线安全评估中有用，目前商业上已有安全评估程序包可用，但其准确性仍然受到负荷模型不确定性的限制。
Economic and environmental concerns will slow down the expansion of the transmission systems in many countries. The de-regulation of the power supply will introduce new power flow patterns on the bulk transmission systems. The net result is that the power systems will operate much closer to their transfer limits and operate there much longer time than has been necessary. The risk for voltage collapse determines the transfer limits in many bulk transmission systems. The recording of the load behavior directly provides information about operating conditions. The applicability of this information might be used for the dimensioning of the transfer limits, the maximum transfer capacity and the calculation of security limits. The main challenge is how to manage an on-line utility able to identify the time-varying parameters of the load, and how to deal with this information to make it useful in an on-line security assessment packages are commercially available today, but its accuracy is still limited by load model uncertainty.