Ant Colony Optimization-based Micro-grid Multi-Objective Optimization
- https://doi.org/10.2991/emcs-16.2016.405How to use a DOI?
- Micro-grid; Multi-objective optimization; Ant colony optimization; Cost modle; Emissionmodle
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.
- © 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 -