Kotov I. Automation of emergency dispatch control processes for power systems of the mining and metallurgical complex on the basis of evolutionary incorporation of professional ontologies

The aim of the work is to develop models, methods, information and software for intelligent automated control systems for emergency regulation of the modes of power systems of the mining and metallurgical complex. The work investigates into structures of Ukraine’s power engineering complex and operational dispatch control in current complicated socioeconomic conditions. The necessity to make dispatch control ‘smarter’ and thus upgrade the automated dispatch control system is substantiated. A single evolutionary approach to incorporating and processing professional ontologies to build smart systems and automatize control over complex-structured objects is formed. The author suggests a unified mathematical model based on integration and evolutionary inheritance of professional ontologies, which includes the cognitive activity model of the expert system incorporated into a general hierarchy of professional knowledge representation. The evolutionary generalization system of the set-theoretic model of basic concepts, ontological generalization of evolution of knowledge and methods of its processing are formalized to build universal algorithms for building knowledge and a logical inference. The formal apparatus for ontology representation and use, which is invariant for specific professional areas, is improved to build universal decision-support systems. The software complex of the decision-support system applied to automatizing operational dispatch control of standard and emergency modes of the power system is developed. The scheme for implementing the decision support system in current automated control systems of power engineering is proposed. The DSS cycle results in regulatory-instructional materials of dispatch control obtained from professional ontologies of the knowledgebase as well as recommendations of control corrective actions, their values and directions of change based on calculated sensitivity matrices. In addition, there is a possibility to use the knowledgebase as a database with sampling of necessary data for analysis. Research includes developing diagrams of knowledgebase interpretation and the inductive inference block that functionally overlap, unlike the classical architecture of smart systems. Practical significance of the developed ontological knowledge models, methods and means of their use is verified through solving problems of controlling the power system modes both under standard and emergency conditions. Economic efficiency of the decision-support system under standard and emergency conditions of control objects operation is assessed. During the elimination of crisis situations, the practical increase in the reliability of dispatching personnel for using the DSS reached 37.2%.