Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Ant Colony Optimization-based Micro-grid Multi-Objective Optimization

Authors
Xianzheng Feng, Tingting Zhang, Hongjun Li, Bin Zhao
Corresponding Author
Xianzheng Feng
Available Online January 2016.
DOI
https://doi.org/10.2991/emcs-16.2016.405How to use a DOI?
Keywords
Micro-grid; Multi-objective optimization; Ant colony optimization; Cost modle; Emissionmodle
Abstract

Micro-grid is a hot issue in new energy research, and a major orientation of distributed power generation in the future. The diversity and flexibility of distributed power generation complicates the operation and scheduling optimization of micro-grid. On the basis of considering a mathematical model that contains photovoltaic cell, wind-driven generator, storage battery, fuel cell, micro gas turbine and diesel-driven generator, the paper considers the operating cost and emission model of micro-grid, and proposes an ant colony optimization-based micro-grid optimization model with the goal of minimizing grid loss, operation and maintenance cost and emission load. The ant colony optimization adopted can complete optimal solution search through environment, foraging, movement, obstacle avoidance and pheromone, etc., and search for an optimal solution independently simultaneously at multiple spatial points, so it has a higher global searching capability, convergence rate and robustness. The simulation experiment in the calculation example proves the validity of the model and 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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Volume Title
Proceedings of the 2016 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-158-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcs-16.2016.405How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xianzheng Feng
AU  - Tingting Zhang
AU  - Hongjun Li
AU  - Bin Zhao
PY  - 2016/01
DA  - 2016/01
TI  - Ant Colony Optimization-based Micro-grid Multi-Objective Optimization
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1618
EP  - 1622
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.405
DO  - https://doi.org/10.2991/emcs-16.2016.405
ID  - Feng2016/01
ER  -