Research and Application of Prediction Control Method Based on Automatic Optimization of Coal Volume in AGC

DOI

10.2991/masta-19.2019.39How to use a DOI?

Keywords

AGC, Coal feedforward, Objective function, Self-optimization

Abstract

One circulating fluidized bed boiler (CFB) generator set of a thermal power plant in Inner Mongolia power grid planned to put into automatic power generation control (AGC) by transforming the software and hardware of the unit. This can reduce the electricity allocation and punishment by the power grid. In order to overcome the characteristics of large delay and inertia of CFB unit and improve the quality of AGC, a multi-feedforward is added to the boiler master, the prediction section and configuration of coal quantity were designed, and a new objective function was devised to self-optimize the coal quantity. Logic of automatic optimization was made to improve the control indexes of AGC. After the AGC test was finished and AGC was put into operation, the indexes of AGC are excellent, which not only eliminates the AGC power punishment, but also obtains the reward.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao-gang Xin
AU  - Shao-jia Dang
AU  - Cheng-guo Qin
AU  - Guo-bin Zhang
AU  - Rui-jun Guo
PY  - 2019/07
DA  - 2019/07
TI  - Research and Application of Prediction Control Method Based on Automatic Optimization of Coal Volume in AGC
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 227
EP  - 233
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.39
DO  - 10.2991/masta-19.2019.39
ID  - Xin2019/07
ER  -