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The restoration planning is a very important task in the operation of electric power systems. A plan which reduce the duration of the restoration, minimize the impacts of outages in the economy and the society. In this paper it is presented a new method based on automated planning (AP) to restore the transmission network after a blackout. In the early stages of electric power system restoration is important to coordinate simultaneously the generator start-up sequence (GSS) with the branches energization sequence (BES) to decrease the duration of the restoration. The formulations presented in this article are based on automated planning actions, which focus on the identification of transmission paths for the BE Sin simultaneous coordination with the GSS. The tests results de veloped on IEEE39-Bus system demonstrate the efficiency of the algorithm and the quality of the solutions obtained. [ABSTRACT FROM AUTHOR]

Automated Planning (AP) is the discipline of Artificial Intelligence whose aim is to produce a sequence of actions in order to achieve a specific goal and requires the inflow of a pre-defined action model. However, to start the construction of this model is a difficult task even for experts. This paper proposes the extraction of information from the Web, in order to identify those elements that correspond to the action model for AP tasks, by analyzing a number of Web pages that contain data of already existing programs and extracting from them a set of tools which would allow to solve any given problem. The data obtained will be processed using Natural Language Processing (NLP) tools, in order to identify a set of actions that are part of an AP domain model. The proposed system reached an average accuracy of 89.87% and save all actions taken on ontology to form a Knowledge Base (BC), which allows later use for other domains of PA. This article presents the results of a partial research about the uses of extraction tools, pre-processing, identification of components and storage in the ontology. [ABSTRACT FROM AUTHOR]