Abstract
Power supply systems for industrial enterprises in order to ensure reliability of power supply and increase efficiency, as a rule, has its own generating base and external power supply - connection to the electrical power system. Changing the load during the day poses the task of determining and predicting the optimal power purchased from the power system. An important task in such conditions is also the development of planned repairs of the main generating equipment of the industrial power supply system. This work is devoted to the development of an algorithm for determining the optimal power purchased from the energy system, taking into account the in-house power from local thermal power plants. The calculation methodology takes into account the main features of industrial power units, namely, the use of several types of fuel in a single power plant, the presence of several large industrial power plants, power transmission in the power supply system (losses of active power in the system), the transfer ability of elements, compliance with permissible voltage conditions in nodes. The algorithm is based on the dynamic programming method in combination with the sequential equivalence method, which makes it possible to search for a whole set of optimal controls with many possible solutions. Models of power systems and in-house energy sources presented particular difficulty in the calculations. In this work, source models are presented in tabular form. For power systems, there is a dependence of the power received from the power system on the tariff within the specified power. An equivalent model of external sources takes into account the operating conditions of the electricity market. Based on the results of work in the conditions of an industrial power center, the recommended capacities are given for receiving power from the power system and the corresponding costs for receiving and in-house power generation.
Keywords
power supply, power unit, industrial power plant, power system, optimization, dynamic programming, electricity market, electricity tariff, medium-term planning, technical and economic model
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