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Title: Distributed algorithms for monitoring and control of electric power transmission and distribution systems

Miscellaneous ·
OSTI ID:6208377

The benefits of distributed computing systems are massively increased computing power and improved reliability. Distributed computing systems are particularly attractive for monitoring and control of large-scale electric power transmission and distribution systems. In this dissertation two aspects of distributed computing have been investigated. First, a distributed software model for the implementation of network security functions in energy management systems is proposed. Second, a theoretical framework for the development of distributed algorithms is developed. The framework is applied to some of the functions necessary for the operation of an automated power distribution system. The proposed distributed model for the software of energy management systems is based on the object-oriented methodology. A prototype implementation of the power flow function is described as a concrete example for the application of the model. Other network security functions discussed are state estimation and bad data detection. The proposed model reduces the effort of development and maintenance of large-scale energy management system software. It provides a tool for coping with the constantly increasing complexity of these software systems. A framework for the development of distributed algorithms is proposed. A special class of separable continuous constrained optimization problems is considered. A class of asynchronous iterative algorithms is developed. The solution of the separable continuous constrained optimization problem is emphasized because many problems arising in the operation of an automated distribution system can be formulated as constrained optimization problems. It is shown that these optimization problems can be solved with a set of largely independent processors which exchange a minimum of information.

Research Organization:
California Univ., Berkeley, CA (USA)
OSTI ID:
6208377
Resource Relation:
Other Information: Thesis (Ph.D)
Country of Publication:
United States
Language:
English