Intelligent and integrated load management system
| dc.contributor.author | Baba, Mutasim Fuad | en |
| dc.contributor.committeechair | Rahman, Saifur | en |
| dc.contributor.committeemember | Nunnally, Charles E. | en |
| dc.contributor.committeemember | Roach, John W. | en |
| dc.contributor.committeemember | Mashburn, William H. | en |
| dc.contributor.committeemember | Jansen, John F. | en |
| dc.contributor.department | Electrical Engineering | en |
| dc.date.accessioned | 2017-01-30T21:24:14Z | en |
| dc.date.available | 2017-01-30T21:24:14Z | en |
| dc.date.issued | 1987 | en |
| dc.description.abstract | The design, simulation and evaluation of an intelligent and integrated load management system is presented in this dissertation. The objective of this research was to apply modern computer and communication technology to influence customer use of electricity in ways that would produce desired changes in the utility's load shape. Peak clipping (reduction of peak load) using direct load control is the primary application of this research. The prototype computerized communication and control package developed during this work has demonstrated the feasibility of this concept. The load management system consists of a network of computers, data and graphics terminals, controllers, modems and other communication hardware, and the necessary software. The network of interactive computers divides the responsibility of monitoring of meteorological data, electric load, and performing other functions. These functions include: data collection, processing and archiving, load forecasting, load modeling, information display and alarm processing. Each of these functions requires a certain amount of intelligence depending on the sophistication and complication of that function. Also, a high level of reliability has been provided to each function to guarantee an uninterrupted operation of the system. A full scale simulation of this concept was carried out in the laboratory using five microcomputers and the necessary communication hardware. An important and integral part of the research effort is the development of the short-term load forecast, load models and the decision support system using rule-based algorithms and expert systems. Each of these functions has shown the ability to produce more accurate results compared to classical techniques while at the same time requiring much less computing time and historical data. Development of these functions has made the use of microcomputers for constructing an integrated load management system possible and practical. Also, these functions can be applied for other applications in the electric utility industry and maintain their importance and contribution. In addition to that, the use of rule-based algorithms and expert systems promises to yield significant benefits in using microcomputers in the load management area. | en |
| dc.description.degree | Ph. D. | en |
| dc.format.extent | xiii, 163 leaves | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/74744 | en |
| dc.language.iso | en_US | en |
| dc.publisher | Virginia Polytechnic Institute and State University | en |
| dc.relation.isformatof | OCLC# 17007456 | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.lcc | LD5655.V856 1987.B322 | en |
| dc.subject.lcsh | Electric power systems -- Load dispatching | en |
| dc.subject.lcsh | Electric power consumption -- Forecasting | en |
| dc.title | Intelligent and integrated load management system | en |
| dc.type | Dissertation | en |
| dc.type.dcmitype | Text | en |
| thesis.degree.discipline | Electrical Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Ph. D. | en |
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