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Grey wolf algorithm-based economic back pressure optimization method for wet cooling unit of thermal power plant

A technology for thermal power plants and units, which is applied in the field of economic optimization of the cold-end system of thermal power plants, and can solve problems such as less data, lack of convincing power, and poor accuracy

Inactive Publication Date: 2020-12-08
HANGZHOU DIANZI UNIV
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Problems solved by technology

This method mainly has the following deficiencies: the parameters only consider the generating power of the unit and the circulating water flow, and do not consider the economic cost of adjusting the temperature of the circulating water; the data required for constructing coordinates and analyzing curves are based on historical operating data Many parameter values ​​in the process will not be set, the data is scarce, and it is not convincing; the process of determining the economic back pressure value requires manual analysis, which is low in efficiency and poor in accuracy

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  • Grey wolf algorithm-based economic back pressure optimization method for wet cooling unit of thermal power plant
  • Grey wolf algorithm-based economic back pressure optimization method for wet cooling unit of thermal power plant
  • Grey wolf algorithm-based economic back pressure optimization method for wet cooling unit of thermal power plant

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Embodiment Construction

[0075] The technical solutions of the present invention will be described clearly and in detail below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0076] The present invention proposes a method for optimizing the economical back pressure of wet-cooled units in thermal power plants based on the gray wolf algorithm, considering the operating conditions of the unit, circulating water flow, and the temperature of the circulating water at the inlet of the condenser as the main factors affecting the back pressure , constructing an objective function that comprehensively considers the economic benefits brought by the increase of stea...

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Abstract

The invention discloses a grey wolf algorithm-based economic back pressure optimization method for a wet cooling unit of a thermal power plant. The method aims to maximize the net economic benefit obtained by power generation of a cold end system of the unit, and the net economic benefit is mainly composed of the economic benefit brought by the increase of the power generation power of the steam turbine, the economic cost required for circulating water flow regulation and the economic cost required for circulating water temperature regulation. The method is based on a wet cooling unit back pressure model, takes unit operation conditions, circulating water flow and condenser inlet circulating water temperature as input variables, takes unit back pressure as an output variable, adopts a greywolf algorithm after position updating strategy improvement and population evolution mechanism improvement, and the optimal back pressure can be found more quickly and accurately through the random and rapid traversal of the input variables. According to the method, the problem that the economic back pressure of the thermal power plant is difficult to determine due to equipment parameters and operation condition changes is solved, the time required for determining the economic back pressure of the unit is effectively shortened, and the optimization precision of the economic back pressure is improved.

Description

technical field [0001] The invention belongs to the field of economic optimization of cold-end systems of thermal power plants, and in particular relates to an economical backpressure optimization method for wet-cooling units of thermal power plants based on gray wolf algorithm. Background technique [0002] The economic optimization of thermal power plants is mainly reflected in improving the utilization rate of fuel in the power generation process, including the burnout rate of coal in the boiler, the effective heat utilization rate of the heat after coal combustion in the pipeline transmission process, and the hot steam in the steam turbine. effective power etc. The cold-end system is located at the end of the steam turbine of the thermal power unit. The economic optimization of the cold-end system is mainly reflected by reducing the exhaust pressure at the end of the low-pressure cylinder and increasing the effective power of the hot steam in the steam turbine. Accordin...

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Application Information

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IPC IPC(8): G06F30/20G06F30/27G06N3/00G06F111/10G06F111/04
CPCG06N3/006G06F30/20G06F30/27G06F2111/04G06F2111/10
Inventor 李俞迪林志赟韩志敏王博
Owner HANGZHOU DIANZI UNIV
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