Tymchuk S. Methods and algorithmic support of a decision support to optimize the structure of the system power supply control under uncertainty

The object of study: the process of making decisions on the optimal structure of the control system of electrical distribution networks under uncertainty. Objective: development of scientific bases and research methods, algorithmic decision support software to optimize the structure of control systems of electrical distribution networks under uncertainty of initial information and multicriteriality. Methods: methods of system analysis, mathematical modeling theory, the theory of fuzzy sets in the development of mathematical models for evaluating the technical - economic performance of the system; Methods mathematical programming in the development of methods and algorithms for finding optimal structural solutions control systems; application programming techniques; Decision theory the justification related benefits in the form of fuzzy. Theoretical and practical results: obtained the theoretical basis of solving important scientific and applied problems of increasing the efficiency of the process of power supply by the optimal structure of distribution electricity control systems; developed models for assessing the technical and economic efficiency of a fuzzy form, developed and improved a number of methods for optimal decision making under uncertainty, studied their efficiency and rational use of conditions; the practical value of the work is developed engineering methods, program products, that implement software algorithms developed and provide efficient solution not only typical optimization problems under uncertainty of the initial information, but also those that because of their complexity and action were not considered. Novelty is a scientific and methodological approaches to solve the problem of the synthesis of the structure of distributed control systems objects that have complex scheme-structural and topological structure of the complex without making simplifications in mathematical models and methods in an uncertain initial information and multicriteriality. Degree of implementation: case studies in the Institute "Ukrmerezhproekt"; in two enterprises of Kharkiv; in the educational process Vasilenko KhNTUA for training specialists in the field 8.05020201 "Automated process control" and 8.05020202 "Computer-integrated technological processes and production". USES: control systems in energy, oil and gas industry.