A Diesel-wind-solar-battery Micro Grid's Optimal Configuration Model Based On The Modified Non-inferior Sorting Genetic Algorithm
- Xiupeng Chen
- Corresponding Author
- Xiupeng Chen
Available Online May 2016.
- https://doi.org/10.2991/aeecs-16.2016.37How to use a DOI?
- Diesel-wind-solar-battery Micro Grid; Optimal Configuration; Multi-objective Optimization; NSGA -
- 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.
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 -