Construction method of multi-source multi-pressure industrial heat supply network all-condition thermoelectric load optimization model

Abstract

The invention relates to a construction method of a multi-source multi-pressure industrial heat supply network all-condition thermoelectric load optimization model. The method comprises the following steps: 101, establishing a heat source unit thermal performance calculation model; 102, determining a heat source unit variable cost and production profit calculation method and a calculation method of the allocated cost generated by participating in the deep peak regulation market, and establishing a heat source unit production profit calculation model as an objective function of thermoelectric load optimization; 103, determining constraint conditions of the optimization variables, giving equality constraints and inequality constraints, decoupling the coupling constraints between the heat supply amount and the power generation amount and the coupling constraints between the heat supply amounts of different pressure grades by adopting a setting method, and determining a mathematical expression of the inequality constraints; and 104, performing optimization calculation through the thermoelectric load optimization model to obtain an operation scheme with optimal production profit. Compared with the prior art, the method provided by the invention is more comprehensive in consideration of constraint conditions, and has the advantages of high calculation model precision, high optimization result guidance and the like.

Description

technical field [0001] The invention relates to a construction method of a thermoelectric load optimization model, in particular to a construction method of a thermoelectric load optimization model of a multi-source and multi-voltage industrial heat network under all working conditions. Background technique [0002] With the operation of the in-depth peak shaving market mechanism and the advancement of electricity market-oriented reforms, the power supply side will face more and more challenges, and the profit model and profitability of cogeneration units will also change. After the deep peak shaving market mechanism is activated, the unit can provide in-depth peak shaving auxiliary services by reducing the load to obtain compensation fees, or reduce the cost of sharing in the deep peak shaving market, but the unit pressure drop load will also reduce the efficiency of the unit. At the same time, the heating capacity is also reduced. When the price of primary energy (coal pr...

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Problems solved by technology

However, this existing patent obtains the operating parameters of the unit from the DCS system of the power plant, and fits the thermal performance curve of the unit according to the operating parameters. When calculating, only the ambient temperature is considered, and only the minimum natural gas consumption is the objective function. At the same time, the electric load and The upper and lower limits of heat supply, but no coupling constraints are given

[0006] Therefore, when constructing the optimization model of heat and electricity load in the prior art, more consideration is given to the minimum production cost of the unit. Even if the maximum production profit is the goal, the production cost considered is mainly the fuel cost, which is relatively simple; When constructing the heat and power load optimization model of steam combined cycle cogeneration units, the consideration of constraints is not comprehensive enough. For industrial heating networks with multiple pressure levels for heating, it is necessary to consider thermoelectric coupling constraints and coupling constraints between different pressure levels. Usually When building the model, only the upper and lower limits of heat supply and power generation are considered, and the upper and lower limits of the constraints are fixed as constants, rather than a mathematical expression related to optimization variables

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