Time-of-use (TOU) electricity pricing has been applied in many countries around the world

to encourage manufacturers to reduce their electricity consumption from peak periods to

off-peak periods. This paper investigates a new model of Optimizing Electricity costs during

Integrated Scheduling of Jobs and Stochastic Preventive Maintenance under time of-use

(TOU) electricity pricing scheme in unrelated parallel machine, in which the electricity price

varies throughout a day. The problem lies in assigning a group of jobs, the flexible intervals

of preventive maintenance to a set of unrelated parallel machines and then scheduling of jobs

and flexible preventive maintenance on each separate machine so as to minimize the total

electricity cost. We build an improved continuous-time mixed-integer linear programming

(MILP) model for the problem. To the best of our knowledge, no papers considering both

production scheduling and Stochastic Preventive Maintenance under time of-use (TOU) electricity

pricing scheme with minimization total Electricity costs in unrelated parallel machine.

To evaluate the performance of this model, computational experiments are presented, and

numerical results are given using the software CPLEX and MATLAB with then discussed.

The article proposes a methodology for the formation of a combined model of the equilibrium values of pricing and the volume of electricity production, taking into account green and traditional sources of electricity production on the example of Ukraine. In accordance with the projected price and volume of electricity production in 2021, a model for redistributing electricity sources were considered, taking into account the minimization of budgetary resources and the risk of electricity production with appropriate restrictions in the production of various types of electricity and their impact on minimizing the price for the end user.
The studies have shown that important factors in the formation of electricity prices are indicators of the cost and volume of production, distribution and transportation of electricity to consumers, which largely depends on the formation and further development of the energy market in Ukraine. Also, the redistribution of the volumes of traditional and non-traditional electricity in the common “pot” is of great importance while minimizing risks and budgetary constraints. Balancing the system for generating electricity from various sources will help not only optimize long-term electricity prices and minimize tariffs for the end user, but also allow planning profit in the form of long-term market return on investment.
The analysis of the results showed that the optimal distribution of energy production makes it possible to obtain energy resources in the required volume with lower purchase costs and with minimal risk.