برنامه ريزي روزانه نيروگاه هاي حرارتي از طريق منعطف سازي قيود توليد به كمك فناوري بلاكچين

The power generation sector consists of a diverse set of renewable and non-renewable power plants. Thermal power plants, as one of the main sources of electricity generation, have a significant share in the energy portfolio of countries. These power plants face specific challenges in operation due to the need for preparation time and limitations in tolerating sudden temperature changes. For example, the process of starting and stopping these power plants may take several hours due to operational and technical requirements. As a result of these factors, thermal power plants face specific limiting constraints in their operation, the most important of which are the constraints of minimum operating time, minimum shutdown time, and rate of change. The presence of these constraints, with the formation of the electricity market and the change in the main goal of power plants towards profit maximization, has caused these units to face much more challenges in increasing their profits, because they are obliged to comply with a set of operational constraints. The existence of these constraints, in addition to significantly increasing the complexity of the problem of optimizing the profit of thermal power plants, also limits the flexibility of production units, preventing power plants from fully exploiting market opportunities. The purpose of this thesis is to examine these constraints and present a new solution to reduce their impact on the profitability of thermal power plants. In recent years, we have witnessed the emergence of a broad market based on blockchain technology. Given the high potential of blockchain technology in the electricity industry, many companies have turned to investing in projects related to this technology. The new solution presented in this article is to equip thermal power plants with a mining system as a profitable load. By using this plan, we are able to use cryptocurrency mining units or miners as a flexible source to adjust the output of power plants due to their ability to change their power quickly. In other words, by adding a profitable load to the power plant system, we will show that it will increase the flexibility of the power plant against the aforementioned constraints and will lead to an increase in the daily profitability of the unit up to 20 times the normal state. In this regard, we will use simulation in the GEMS software to eva‎luate the capabilities of the new solution presented and examine the power plant production process under various conditions.

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