- author = "Zhiwei Wen and Biao Chen",
- booktitle = "2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)",
- title = "Load dispatch optimization of {AGC} system based on improved genetic algorithm",
- year = "2017",
- pages = "278--281",
- month = nov,
- keywords = "genetic algorithms, genetic programming, automatic generation control, coal consumption, load Dispatch, thermal power plant",
-
DOI = "
doi:10.1109/ICCIS.2017.8274787",
- abstract = "The characteristics of coal consumption of thermal power plants are typical nonlinear and time-varying. It's difficult to obtain an accurate model by traditional method. A multi-objective optimisation method based on improved genetic algorithm for load Dispatch of generator units has been proposed. The influence factors of load critical point and response rate has been studied. The genetic programming algorithm is used to automatically fit the coal consumption characteristic curve of the generator units. By adjusting the weights of factors, dynamic dispatch model based on rapidity and economy has been constructed. Simulation result shows the effectiveness in meeting the dispatch requirements and reducing the coal consumption.",
-
notes = "Is the GP?
Also known as \cite{8274787}",
