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U.S. Department of Energy
Office of Scientific and Technical Information

Prototype expert system for load management

Technical Report ·
OSTI ID:7112141
Demand Side Management (DSM) offers electric utilities a method to better serve their customer base. With efficient utilization of the demand side resource, a utility can reap economic benefit while improving system security without the need to build expensive generation that might rarely be used. Demand side management options represent the ability to have individual customers reduce their load upon request. The complexity of and number of DSM contracts usually make it impossible for a dispatcher to obtain the maximum benefit from this resource. This report describes a knowledge based prototype that was developed for investigating the advantages that could accrue to a tool which facilitates the use of demand side options. Phase II of this project will use the results from Phase I to aid in the design and deployment of a commercial tool to be used by the utility industry. The prototype was based on the expertise of members of the New England Power Service Company's DSM team. This expertise was captured, distilled, represented in knowledge bases and combined with a strong graphical interface. The result was Control Center Load Management Assistant (CCLMA), a prototype knowledge-based system that was used to explore how utilities could effectively manage DSM options. Key results of this study were: A knowledge-based system will improve the benefits derived from DSM options. As DSM contracts become more numerous and complex dispatchers will need a tool if they are to effectively manage this resource. The expertise used by dispatchers to manage their DSM options can be captured by a knowledge-based system. The benefits derived from CCLMA are very sensitive to the design of its graphical interface which must be flexible enough to meet individual utility needs. This report describes the research that led to the creation of this remarkably useful and usable tool. The report follows the evolution of the concepts that were ultimately used in the system.
Research Organization:
Electric Power Research Inst., Palo Alto, CA (United States); TASC, Reading, MA (United States)
Sponsoring Organization:
EPRI; Electric Power Research Inst., Palo Alto, CA (United States)
OSTI ID:
7112141
Report Number(s):
EPRI-TR-100732-Vol.1
Country of Publication:
United States
Language:
English