Applications of artificial intelligence in power systems

The background of power system restoration is analyzed and how this process might benefit from the use of knowledge-based systems is discussed. After describing the state of the art of knowledge-based systems for power system restoration, efforts are made to review knowledge-based techniques to handle system restoration problems. The experiences of system development are reported and evaluation of the systems is addressed. Some needed technological innovations are listed that are required before knowledge-based systems can extensively be applied to power system restoration. >

Knowledge-based systems as operational aids in power system restoration

Energy transactions between electric power companies are commonly used to reduce operating costs. With movements toward a further de-regulated power industry, the number and importance of contracts are expected to increase. This paper proposes a new method to quickly and systematically evaluate potential contracts. A fundamental concern of contract analysis is whether or not the contract is feasible, i.e., if the terms of the contract, can be met without violating system operating constraints or prior contractual constraints. The novel features of our approach are a model of the essential components of a contract using rules and a contract consistency checking algorithm based on rule inference techniques. An example shows how the method is used to evaluate the consistency of a potential contract with existing contracts and other system constraints. The proposed method can help avoid tedious contract evaluation tasks while systematically ensuring that all constraints are met.

Consistency evaluation in an operational environment involving many transactions

A relation-checking algorithm for maintenance of rule-based systems

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A relation-checking algorithm for maintenance of rule-based systems