Coal purchasing and power generation index prediction processing system and method suitable for power plant

Abstract

The invention discloses a coal purchasing and power generation index prediction processing system and method suitable for a power plant, and the system comprises a price prediction module which is used for predicting the coal price and power price in a certain period of time in the future according to the coal market price information and power market price information in a historical period of time; a parameter fitting module which is used for carrying out data fitting on the current coal-fired heat value information, coal-fired price and power supply coal consumption information of the coal-fired power plant to obtain a fitting function of the power generation amount and the coal-fired purchase amount; a collaborative optimization calculation module which is used for establishing a collaborative optimization model among the income, the coal purchase quantity and the power generation quantity according to the fitting function, and carrying out collaborative optimization processing onthe coal purchase quantity and the power generation quantity according to the predicted coal price and power price by taking income maximization as a target function. According to the invention, the coal purchase quantity and the power generation quantity of the coal-fired power plant are subjected to collaborative optimization processing, so that the profit maximization of the power plant can berealized on the premise of ensuring the safe operation of the power plant.

Description

technical field [0001] The invention belongs to the technical field of coal combustion and electric power sales control, and more specifically relates to a coal procurement and power generation index prediction processing system and method suitable for power plants. Background technique [0002] If power generation companies want to maximize their benefits, that is, pursue the maximization of profits, they need to consider collaboratively to ensure the balance between income and expenditure. Obviously, "profit = income - expenditure", the income of power generation enterprises is mainly electricity income, which can be regarded as "income = electricity x electricity price"; while the expenditure of coal-fired power plants is mainly coal procurement expenses, and the fixed costs are evenly distributed to monthly It can be regarded as a fixed value, then "coal-fired procurement expenditure = coal-fired purchase quantity × coal-fired purchase price". Generally speaking, the re...

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Problems solved by technology

However, as far as the current fuel procurement and electricity sales are concerned, most power plants are still considered separately, "doing their own thing", and the goal of maximizing benefits generally only considers a single factor without overall consideration; power plants generally purchase coal once a month, and Coal purchases are determined based on roughly predicted coal prices. At this time, coal prices may be at a high level, resulting in an increase in procurement costs; the power generation of a power plant generally depends on the power generation index obtained, that is, the monthly power generation of a power plant is generally fixed , so the electricity income mainly depends on the electricity price when the electricity is sold; if the electricity generation is high when the electricity price is low, or the electricity generation is low when the electricity price is high, it will lead to a decrease in the electricity income of the power plant; therefore, the existing research work does not Failure to consider the internal relationship between coal purchases and power generation, as well as the characteristics of coal market conditions and dynamic fluctuations in electricity prices, has resulted in the failure of power generation companies to achieve the goal of maximizing benefits

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