STUDY AND APPLICATION OF ARTIFICIAL NEURAL NETWORK IN POWER PIANT SIMULATION AND CONTROL

doi:10.19666/j.rlfd.1999.05.011

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STUDY AND APPLICATION OF ARTIFICIAL NEURAL NETWORK IN POWER PIANT SIMULATION AND CONTROL

更新时间：2025-09-28

- STUDY AND APPLICATION OF ARTIFICIAL NEURAL NETWORK IN POWER PIANT SIMULATION AND CONTROL
- Thermal Power Generation Issue 5, Pages: 39-42(1999)
- 作者机构：
  
  西安交通大学!西安710049,西安交通大学!西安710049,长春热电二厂,长春,130022
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.1999.05.011
  CLC： TM743
- Published：1999
- 稿件说明：
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STUDY AND APPLICATION OF ARTIFICIAL NEURAL NETWORK IN POWER PIANT SIMULATION AND CONTROL[J]. Thermal power generation, 1999, (5): 39-42.
DOI：

STUDY AND APPLICATION OF ARTIFICIAL NEURAL NETWORK IN POWER PIANT SIMULATION AND CONTROL[J]. Thermal power generation, 1999, (5): 39-42. DOI： 10.19666/j.rlfd.1999.05.011.

摘要

研究神经网络技术在发电厂仿真和控制中的应用潜力。人工神经网络利用一个实际电站直流锅炉试验数据训练神经网络的预测模型，使其能够学会电厂的性能特性，并能预测系统的响应。神经网络控制模型能根据指定约束条件，产生合理的动作，模拟电厂运行和控制运行参数

Abstract

This paper presents a study to the potential application of neural network in power plant simulation and control.Having been trained with the test data obtained from an actual utility once through boiler

the predictive models of neural network can learn the operation performance of the power plant and forecast system responses.The neural network control models can act to simulate power plant operation and to control operation parameters according to the specified conditions.

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