Improved genetic algorithm-based method for distributing and optimizing thermal and electrical load of steam extraction and heating unit

A technology for improving genetic algorithms and extraction steam heating units. It is applied in computing, genetic modeling, and electrical digital data processing. It can solve the problems of complex heating extraction units, slow calculation speed, and difficulty in convergence.

CN102622530AActive Publication Date: 2012-08-01HUADIAN ENERGY COMPANY LIMITED +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2012-08-01

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Abstract

The invention provides an improved genetic algorithm-based method for distributing and optimizing thermal and electrical load of a steam extraction and heating unit, and belongs to the technical field of energy saving and monitoring of a power station. The invention aims to distribute and optimize the thermal and electrical load of a plurality of heating units of the power station, optimally distribute the electrical load and the thermal load of the power station when the electrical load and the thermal load meet requirements of users, and reduce total energy consumption and save energy. An actual heat consumption and consumption difference curve of the unit is set, and a design heat consumption curve of the unit is obtained; the electrical load and steam extraction amount of each unit are acquired; and the electrical load and the steam extraction amount value of each unit are obtained based on the improved genetic algorithm when the total thermal consumption values of the units are minimum, and the electrical load, the steam extraction amount value optimal solution and the corresponding minimum total thermal consumption of each unit are output when the total thermal consumption values of the units are minimum by improving genetic coding and fitness function, and selecting, crossing and mutating the genetic algorithm under the condition that the optimization process meets constraint conditions. By the method, the speed of optimization process and accuracy of an optimization result are improved.
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Description

technical field

[0001] The invention relates to a method for optimizing thermoelectric load distribution of multiple heating units in a power plant, and belongs to the technical field of energy-saving monitoring of power plants. Background technique

[0002] With the development of the economy and the improvement of the quality of life of the people, the urban central heating system has been developed rapidly, and the energy conversion efficiency of cogeneration has obvious advantages. Therefore, the heating and extraction unit has been vigorously developed.

[0003] The steam extraction heating unit provides users with electricity and heating heat. The amount of heat and electricity provided by the power plant is controlled by the needs of heat users and electricity users. Therefore, the power plant must adjust the heat supply and extraction according to the needs of heat users and electricity users. The heat and electricity load of the steam unit.

[0004] For a certain t...

Examples

specific Embodiment approach 1

[0078] Specific implementation mode one: as figure 1 As shown, the specific process of the method for optimizing the thermal and electrical load distribution of steam extraction heating units based on the improved genetic algorithm described in this embodiment is as follows:

[0079] Step 1. Set the actual heat consumption curve of the unit: obtain the actual heat consumption curve of each unit according to the test; R is a family of curves of the dependent variable (ordinate), that is

[0080] Unit 1: R 1 =f(P 1 , Q 1 );

[0081] Unit 2: R 2 =f(P 2 , Q 2 );

[0082] ...

[0083] The nth unit: R n =f(P n , Q n );

[0084] Step 2. Set the unit consumption difference correction curve and determine the total unit consumption difference correction coefficient θ i , i is the unit number, i=1, 2,..., n, n represents the number of units: based on the six factors of condenser back pressure, main steam pressure, main steam temperature, reheat pressure, reheat steam temper...