Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration
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 s...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://doi.org/10.1051/itmconf/20181701018 |
id |
doaj-584c5cb79aee4f40aac121972ce366fd |
---|---|
record_format |
Article |
spelling |
doaj-584c5cb79aee4f40aac121972ce366fd2021-02-02T00:04:58ZengEDP SciencesITM Web of Conferences2271-20972018-01-01170101810.1051/itmconf/20181701018itmconf_wcsn2018_01018Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized ConfigurationWang YuanLiu HaojieIn 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.https://doi.org/10.1051/itmconf/20181701018 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Yuan Liu Haojie |
spellingShingle |
Wang Yuan Liu Haojie Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration ITM Web of Conferences |
author_facet |
Wang Yuan Liu Haojie |
author_sort |
Wang Yuan |
title |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration |
title_short |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration |
title_full |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration |
title_fullStr |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration |
title_full_unstemmed |
Reliability Assessment of the Wind-solar-battery Storage System Based on Optimized Configuration |
title_sort |
reliability assessment of the wind-solar-battery storage system based on optimized configuration |
publisher |
EDP Sciences |
series |
ITM Web of Conferences |
issn |
2271-2097 |
publishDate |
2018-01-01 |
description |
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. |
url |
https://doi.org/10.1051/itmconf/20181701018 |
work_keys_str_mv |
AT wangyuan reliabilityassessmentofthewindsolarbatterystoragesystembasedonoptimizedconfiguration AT liuhaojie reliabilityassessmentofthewindsolarbatterystoragesystembasedonoptimizedconfiguration |
_version_ |
1724314594013347840 |