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Title: Prototype expert system for load management

Technical Report ·
OSTI ID:7204439

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 and of 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. This report documents the prototype version of the CCLMA. This report documents the code that was developed and demonstrated to EPRI. The documentation covers those aspects of the code needed to be understood by someone who wishes to re-create the demonstration. The documentation also contains some graphical representation of the code suitable for helping a programmer to modify the existing software. However, the code was developed mainly as a test bed for ideas and a proof-of-concept demonstration. Consequently, the programmer documentation is very limited and anyone wishing to use the code for a purpose other than re-creating the demonstration, does so at their own risk.

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:
7204439
Report Number(s):
EPRI-TR-100732-Vol.2
Country of Publication:
United States
Language:
English