Title | Load Monitoring: CEC/LMTF Load Research Program |
Publication Type | Report |
Year of Publication | 2007 |
Authors | Zhenyu Huang, Bernard C Lesieutre, Steve Yang |
Date Published | 11/2007 |
Institution | Pacific Northwest National Laboratory |
Type | PNNL |
Keywords | FIDVR, FIDVR-007, load modeling, RTINA |
Abstract | This report is intended to serve as a reference for future load monitoring projects. The identification of specific vendor's equipment/software, etc. in this document is for research documentation only and does not constitute an endorsement of these items. Load monitoring provides an important means to understand load behavior in the actual system. This understanding helps to develop load models to represent the load behavior in simulation studies. Load monitoring provides measured data needed for load model validation, load composition studies, and load uncertainty analysis. Depending on various needs, load monitoring may be implemented differently with different monitoring hardware, different measured quantities, and different requirements for sampling rates, signal types, record length and availability, with different costs. Potential load monitoring options include traditional Current load monitoring practices at several utility companies are presented as examples of load monitoring. Each example consists of the following aspects of load monitoring: objective of load monitoring, monitoring location selection, description of monitoring equipment, communication for load monitoring, cost, and use of the data. The purpose of load monitoring is to provide better load characterization and better load management, i.e., the core element of load monitoring is focused on applications. Five load monitoring applications are proposed in this report, with some preliminary case studies: • Load monitoring for top-down load composition: The total load profile obtained from load monitoring data can be decomposed to derive fractions of individual load types if load profiles of individual load types are known. |
URL | http://www.pnl.gov/main/publications/external/technical_reports/PNNl-17110.pdf |