Microgrid Economic Operation Research Based on Improved Particle Swarm Optimization Algorithm

DOI

10.2991/icmmita-15.2015.57How to use a DOI?

Keywords

distributed generation; microgrid; economic operation; the improved particle swarm operation (PSO) algorithm

Abstract

This paper presents a new optimization approach for solving the economic operation with consideration of wind, solar, micro-turbine, fuel cells, battery and load in an energy system. Mathematical models of each micro source and the system model of the microgrid economic operation are established, and the system model is solved by improved particle swarm optimization (PSO) algorithm. The best output of each micro source and energy storage unit and the lowest operating cost comparing by improved PSO is compared with the traditional PSO. The MATLAB simulation indicates the high speed and accuracy of the improved PSO, and verifies the effectiveness of the model.

Copyright

© 2015, 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  - Xueying Wang
AU  - Peng Li
PY  - 2015/11
DA  - 2015/11
TI  - Microgrid Economic Operation Research Based on Improved Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 290
EP  - 294
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.57
DO  - 10.2991/icmmita-15.2015.57
ID  - Wang2015/11
ER  -