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

DOI

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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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  - 10.2991/emcs-16.2016.405
ID  - Feng2016/01
ER  -