A Diesel-wind-solar-battery Micro Grid's Optimal Configuration Model Based On The Modified Non-inferior Sorting Genetic Algorithm

DOI

10.2991/aeecs-16.2016.37How to use a DOI?

Keywords

Diesel-wind-solar-battery Micro Grid; Optimal Configuration; Multi-objective Optimization; NSGA -

Abstract

The propose of optimal configuration of micro grid is to reduce economic costs,enhance power supply reliability and improve environmental performance. This article introduces the basic structure of diesel-wind-solar-battery micro grid and power supply model. Taking the minimum annual value cost as economical efficiency's optimal object and minimum environmental management cost as environmental efficiency's optimal object, the article builds a stand-alone diesel-wind-solar-battery micro grid's optimal configuration model, in which the wind speed, temperature, illumination intensity and load level are input variables. A modified non-inferior sorting genetic algorithm is proposed to find out the solution to the type and capacity of power supply. Results show that this algorithm can comprehensively evaluate the economical and environmental efficiency under different configuration plan and provide optimization design with necessary basis.

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  - Xiupeng Chen
PY  - 2016/05
DA  - 2016/05
TI  - A Diesel-wind-solar-battery Micro Grid's Optimal Configuration Model Based On The Modified Non-inferior Sorting Genetic Algorithm
BT  - Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SP  - 176
EP  - 181
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.37
DO  - 10.2991/aeecs-16.2016.37
ID  - Chen2016/05
ER  -