Research Of Power System Load Model Based on Improved Genetic Programming

DOI

10.2991/iccte-16.2016.131How to use a DOI?

Keywords

power system,load model,genetic programming,automatic modeling.

Abstract

The model of the power system load has an important impact on power flow calculation,stability analysis.Compared with the traditional load modeling method to determine the structure further identification of the model parameters,using the genetic programming to load modeling do not have to preset the model structure.It automatically generates a different function from the input and output variables.According to their fitness looking for the most accurate fit function.In this paper,using the improved method of GP to load modeling.Precision and efficiency has been improved by optimize the adaptation of the calculation process.The effectiveness and feasibility of the improved genetic programming method is verified by compare with the traditional load modeling method.

Copyright

© 2016, 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  - Jun Wang
AU  - Jian Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Research Of Power System Load Model Based on Improved Genetic Programming
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 768
EP  - 771
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.131
DO  - 10.2991/iccte-16.2016.131
ID  - Wang2016/01
ER  -