ANALYSIS OF THE DAILY ELECTRICITY CONSUMPTION SCHEDULE OPTIMIZATION OPPORTUNITIES

Abstract

Explore the possibilities of management programs usage to control electricity demand in Ukraine. To develop an optimization mathematical model of the power consumption regime based on key indicators of the consumption schedule estimation and equipment flexibility factors. Proved  that  as  a  result  of  demand  side  management  programs  for  electricity  are
benefit of only for consumers and energy companies, but also for a whole society. Classification of demand-management programs for electricity according to spheres of action presented. The article deals with the method  for  electricity  consumption  daily  schedule  optimization  while  implementing  electricity  demand
management programs. Findings. The effects of demand management programs implementation and reducing consumption
schedule  unevenness  problems  based  on  optimization  task  with  the  schedule  coefficient  and  the  cost  of electric energy reduction have been analyzed. The conducted variants research of demand side management programs  influence  on  possibilities  of  electric  energy  consumption  schedule  modification  confirmed  the possibilities of increasing power systems functioning efficiency. Originality. Optimized energy consumption graphs are obtained based on key indicators for a group of the same type consumers, considering consumer interests, which enables to assess the effect demand side
management  programs  implementation.  Consumers  peculiarities  are  considered  by  coefficient  of  their demand flexibility kг. Practical  value.  The  mechanism  for  the  DSM  innovation  programs  for  optimizing  power consumption  regimes  introduction  possibility  evaluation  has  been  obtained.  Established  that  domestic electric energy consumers  have a significant potential for peak consumption reduction by usage of demand side  management  programs    aimed  at  costs  reduction  for  consumers  and  increasing  the  electrical consumption schedule filling ratio for energy companies.