Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science

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

Authors
Xiupeng Chen
Corresponding Author
Xiupeng Chen
Available Online May 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Advances in Energy, Environment and Chemical Science
Part of series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-194-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/aeecs-16.2016.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.37
DO  - https://doi.org/10.2991/aeecs-16.2016.37
ID  - Chen2016/05
ER  -