Optimization of Wind, Solar and Battery Micro-grid Capacity Allocation

DOI

10.2991/mmsta-19.2019.17How to use a DOI?

Keywords

wind power; solar power; micro-grid; differential evolutionary algorithm

Abstract

As an important way to absorb clean energy, micro-grid is studied in this paper. Compared with photovoltaic or wind independent power supply system, wind-solar complementary system can better adapt to the change of environment. Coupled with the regulating function of battery, wind, solar and battery micro-grid system can make better use of clean energy and meet the load demand of the system. Taking the comprehensive cost of system investment, operation cost and maintaining system power supply reliability as objective functions, a multi-objective optimization function is constructed. In this paper, an improved differential evolution algorithm (IDE) is proposed to optimize the capacity allocation of wind, solar and battery micro-grid. This algorithm can improve the ability of global optimization and avoid falling into the local optimal. An example shows that this algorithm can quickly and reliably calculate the optimal capacity configuration of wind, solar and battery micro-grid system.

Copyright

© 2019, 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  - Shijun Lu
AU  - Hongfang Pan
AU  - Chenyu Peng
AU  - Xuan Li
AU  - Zhigang Hu
AU  - Lei Yan
PY  - 2019/12
DA  - 2019/12
TI  - Optimization of Wind, Solar and Battery Micro-grid Capacity Allocation
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 78
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.17
DO  - 10.2991/mmsta-19.2019.17
ID  - Lu2019/12
ER  -