A fitting method and system for power generation fuel cost of a thermal power generating unit
A thermal power unit and power generation fuel technology, applied in the direction of system integration technology, information technology support system, data processing application, etc., can solve the problems of inability to guarantee the minimum fitting error, large error, cost error and economical operation results, etc.
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Embodiment 1
[0077] like figure 1 Shown:
[0078] Step 1: Obtain the thermal power generation power and fuel cost;
[0079] Step 2: Bring the thermal power generation power, fuel cost and the set number of line segment intervals into the pre-built secondary objective optimization model;
[0080] Step 3: Calculate and solve the quadratic objective optimization model to obtain the fuel costs at the end points of the thermal power generation power range and at the subsections.
[0081] The above-mentioned steps are further explained below in conjunction with specific embodiments:
[0082] The explanation for step 1 is as follows:
[0083] The present invention proposes a piecewise linear fitting method for the cost of generating fuel for thermal power units, and establishes a secondary objective optimization model with the minimum sum of squared linear fitting errors as the optimization goal. By solving the secondary programming model, it can be obtained The discontinuity points of the pi...
Embodiment 2
[0134] The present invention also relates to a fitting system for the fuel cost of thermal power generating units, including:
[0135] Acquisition module: used to obtain thermal power generation power and fuel costs;
[0136] Bringing in module: used to bring the thermal power generation power, fuel cost and the set line segment interval quantity into the pre-built secondary objective optimization model, and abstract it;
[0137] Calculation module: It is used to calculate and solve the abstracted secondary objective optimization model, and obtain the fuel cost at the end point and segment of the power generation range of the thermal power unit.
[0138] Also includes quadratic objective optimization model building blocks;
[0139] The secondary objective optimization model building block is used to: set the piecewise linear function with the square sum of the fitting error as the objective function and the constraint condition;
[0140] The constraints include: optimal piec...
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