ADAPTIVE CONTROL ELECTRICITY CONSUMPTION IN LOCAL MICROENERGY SYSTEM WITH POLYGENERATION BASED ON CLUSTERING OF A CONDITIONAL DYNAMIC TARIFF

Abstract

The paper is devoted the increasing the efficiency to use of traditional and renewable sources in microenergy systems. The development of combined power supply systems of local objects with the stochastic nature generation of renewable sources has led to a number of fundamental problems.
 It is associated with the lack of a decision-making system regarding the ratio of power sources of electricity and the coordination of their generation levels with the electricity consumption schedule at the stage of designing such microgrids. The development of microenergy systems with polygeneration is conditioned by the possibility of technical and information support for the formation of the energy balance of local objects to minimize the costs of their electricity supply.
 By applying elements of inductive system-analytical technologies, an approach to solving the problem of modeling dynamic scenarios of energy management in local microgrids with polygeneration based on determining the cost of electricity and adaptive coordination of the electricity consumption schedule in real time is proposed.
 On the basis of statistical data, modeling was carried out and daily graphs of changes in the current cost of electricity with half-hour discreteness of the calculation were obtained, and the clustering procedure of the conditional dynamic tariff was showed.
 The results can be applied in the evaluation of electricity pricing in microgrid energy management systems or the development of control systems for Smart grids with renewable sources.