A Novel Dynamic Mind Evolutionary Algorithm for Unit Economic Dispatch Problem

DOI

10.2991/iccsee.2013.644How to use a DOI?

Keywords

Economic Dispatch, Dynamic Mind Evolutionary Algorithm, power plants.

Abstract

Economic Dispatch (ED) is one of the optimization issues for improving the economic benefit of power plants. According to the framework of Mind Evolutionary Algorithm, we proposed a new developed Dynamic Mind Evolutionary Algorithm (DMEA) to solve the ED problem. Specifically, the economic model in power plants was built firstly. Secondly, an individual evaluation function is presented. Thirdly, simplex method was used to search the extreme value of each sub-group. Then, sub-groups are separated at the step “similartaxis operator”, while the sub-groups with the same extreme value are assembled at the step “dissimilation operator”, so that the extreme value of each local space can be found efficiently. Ultimately, it can avoid repeated search for the same space due to the record of the searched area. Including DMEA, three different methods were compared under the same illustration. The simulation results demonstrate the effect of DMEA.

Copyright

© 2013, 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  - Pingfei Zhu
AU  - Lanxiang Wang
AU  - Yukai Li
AU  - Yuyang Lai
PY  - 2013/03
DA  - 2013/03
TI  - A Novel Dynamic Mind Evolutionary Algorithm for Unit Economic Dispatch Problem
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2582
EP  - 2586
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.644
DO  - 10.2991/iccsee.2013.644
ID  - Zhu2013/03
ER  -