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

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