Impact of direct load control programs: A duty-cycle approach
- Quantum Consulting, Inc., Berkeley, CA (USA)
This multi-volume report presents the results of analysis conducted under EPRI research project 2342-8. This project has a principal objective to provide utility planners with generalizable tools and techniques to better design, analyze, and evaluate direct load control (DC) experiments and programs. This volume describes the Duty Cycle Approach methodology and analysis applications and utility case studies. Also described are hardware/software tools developed under the project for analyzing utility end-use (appliance) load data from demand-side (DS) programs. The Duty Cycle Approach is an engineering-based statistical approach for calculating appliance load and energy use. After the parameters of the underlying statistical distribution are estimated, the analyst can calculate the load impacts of virtually any appliance load control strategy, not just those operated during the program or experiment. The Impact Prediction Model extends the results of the Duty Cycle Approach by predicting the parameters of the statistical distribution based on information about the weather and time of day. When combined with appliance size data, the IPM can predict the impacts of direct load control strategies without end-use load data. The LDAW is a DOS-based workstation, which uses powerful microcomputer technology along with large data storage capacity to increase the productivity of analysts working with load and customer data. The project results have demonstrated that PC-based machines like the LDAW offer a viable, proven and cost-effective alternative to mainframe computers for DS program analysis. 77 figs.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (USA); Quantum Consulting, Inc., Berkeley, CA (USA)
- Sponsoring Organization:
- EPRI; Electric Power Research Inst., Palo Alto, CA (USA)
- OSTI ID:
- 5947685
- Report Number(s):
- EPRI-CU-7028-Vol.2
- Country of Publication:
- United States
- Language:
- English
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