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...

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Main Authors: Wang Yuan, Liu Haojie
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20181701018
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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
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