The urgency of the topic, where the expediency of assessment methods development and peculiarities of electricity demand management is given. The aim, scientific task, object, subject and methods of research are formed, scientific novelty and practical value of the obtained results are determined, data on approbation and publications are given, personal contribution of the applicant is indicated, acts of thesis results implementation are given.
One of power supply systems within the framework of the Smart Grid concept modernization areas is the introduction of new control systems: organization of power distribution, power consumption, protection, automated control and data collection and others.
Efficiency increase in the power supply system can be achieved by intellectual control over compliance introduction with the established optimized power consumption schedules based on the flexibility of the technological process and installed equipment operating modes.
Considering the sharply variable nature of electricity consumption during the day, an important aspect of assessing the optimality of local power supply systems operation is the quantitative difference between the current level of electricity consumption relative to the optimal level at a controlled level of non-optimality of consumption. It has been suggested that indicators based on Frize power QФ to be used. In general, the Frize power QФ is a quadratic incoherence between full and active power and allows us to estimate the level of losses from non-uniform consumption. Received characteristics allow to estimate the influence of irregularity of generation and consumption processes of electric energy on electric energy quality, level of reactive energy and losses in a network.
The method of electricity demand management by optimizing the daily schedule of electricity consumption considering the limitations of maximum power consumption, maintaining the volume of electricity consumed and considering the capabilities of the consumer to control is proposed. Obtained optimized forms of the energy consumption schedule meet the criteria of maximizing the graph filling ratio and reducing the cost of consumed energy. The consumer potential is considered by the coefficient of demand flexibility. The consumer potential is considered by the coefficient of demand flexibility. This coefficient characterizes the capabilities of the installed equipment to change modes of consumption when implementing individual programs for managing demand for electricity. The obtained results of modeling for a group of household households are correlated with a decrease in the indicator , especially when maximizing the graph filling ratio, which corresponds to a decrease in the overall irregularity of the daily electricity consumption schedule.
In general, the optimization results allow to determine the consumers possibilities to adjust their own daily consumption schedules considering the goals set: saving money on consumed electricity, and the potential benefit of the energy supplying organization from the implementation of a specific program of demand management.
The results were transferred to the National Commission for State Regulation in the Energy and Public Utilities Sector, PAT “Kyivenergo”, PrAT “DTEK Kyiv Electric Grids” and National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute (Igor Sikorsky KPI) for use, as well as in the educational process of Igor Sikorsky KPI at the power supply department.
Keywords: local grids, smart systems, demand management, energy efficiency, optimization, power supply, power consumption schedule, cost minimization.
