| Issue |
ITM Web Conf.
Volume 17, 2018
4th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 10 | |
| Section | Session 1: Wireless Communication | |
| DOI | https://doi.org/10.1051/itmconf/20181701018 | |
| Published online | 02 February 2018 | |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration
1
Xi’an Aeronautical University, 710077 Xi’an, Shaanxi Province, China
2
State power grid Baoji power supply company, 721004 Baoji, Shaanxi Province, China
* Corresponding author: 578101618@qq.com
In order to analyze the impact of new energy power generation on the power grid system, the reliability evaluation of the wind-solarbattery storage system is carried out. Proposed to wind power, solar, thermal power, different sodium-sulfur battery storage combined optimal dispatch of scenery. The shortest variance of the net load and the maximum variance of the wind storage system are taken as the objective function. The short-term optimal scheduling model of the power grid is established based on the characteristics of the wind farm, the characteristics of the solar field and the electric field of the sodium flow battery. Multi-objective particle swarm optimization The algorithm solves the model and obtains the output power of wind, light, storage and fire under different new energy strategies. The reliability is evaluated by Monte-Carlo method. Taking the IEEE-30 node as an example, it is proved that the proposed model is reasonable and the new energy can improve the clean energy consumption ability and minimize the impact on the power grid under the optimal scheduling strategy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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