An architecture for an intelligent automatic generation control for electric power systems
- Mississippi State Univ., MS (United States)
The objective of Automatic Generation Control (AGC) is to dispatch electric power generation to met the load, while constrained by optimum economic operating conditions and the North American Electric Reliability Council (NERC) guidelines. NERC was formed to coordinate the operating practices of the interconnected utilities in North America. The research reported on in this paper defines an architecture for an intelligent AGC that will result in significant cost reductions (short term and long term costs) and improved system efficiency. Significant savings will be realized by improvements in base loading (i.e., less units on automatic generation control), less time operating the system uneconomically (i.e., for a variety of control reasons units are not always operating at their most economical point), and savings in operating and maintenance (O&M) costs (i.e., if more units are based loaded it is anticipated that plant operation will be more efficient). Specifically, this paper addresses issues surrounding the implementation of AGC on a large power system and suggests modifications to this implementation in which intelligent control could have a positive effect. The paper reports on research being conducted to use hybrid systems to monitor the status of a power plant, utilizing intelligent controllers for implementing AGC and dispatching power plants, very short term load forecasting (several minutes look ahead), and developing models of power plants to study degradation of plant performance as an input to AGC.
- Research Organization:
- USDOE Pittsburgh Energy Technology Center (PETC), PA (United States); Oregon State Univ., Corvallis, OR (United States). Dept. of Computer Science; Naval Research Lab., Washington, DC (United States); Electric Power Research Inst. (EPRI), Palo Alto, CA (United States); Bureau of Mines, Washington, DC (United States)
- OSTI ID:
- 81605
- Report Number(s):
- CONF-9410335-; ON: DE95011702; TRN: 95:004731-0020
- Resource Relation:
- Conference: Adaptive control systems technology symposium, Pittsburgh, PA (United States), 24-25 Oct 1994; Other Information: PBD: [1994]; Related Information: Is Part Of High-tech controls for energy and environment. Proceedings; Biondo, S.J.; Drummond, C.J. [eds.] [USDOE Pittsburgh Energy Technology Center, PA (United States)]; PB: 287 p.
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 MATHEMATICS
COMPUTERS
INFORMATION SCIENCE
MANAGEMENT
LAW
MISCELLANEOUS
INTERCONNECTED POWER SYSTEMS
POWER GENERATION
LOAD ANALYSIS
COMPUTERIZED CONTROL SYSTEMS
COMPUTER ARCHITECTURE
POWER TRANSMISSION
IMPLEMENTATION
AUTOMATION
ARTIFICIAL INTELLIGENCE
FORECASTING
ALGORITHMS