A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity
The stochasticity of power flow of distributed generations (DGs) and load in the microgrid has great influence on power flow distribution and voltage quality of the distribution network. For improving the voltage quality of the distribution network, the questions need to be further studied, which in...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-02-01
|
| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241254225 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841527719902314496 |
|---|---|
| author | HongTao Shi Jiahao Zhu Kun Feng Zhuoheng He Jiaming Chang Tingting Chen |
| author_facet | HongTao Shi Jiahao Zhu Kun Feng Zhuoheng He Jiaming Chang Tingting Chen |
| author_sort | HongTao Shi |
| collection | DOAJ |
| description | The stochasticity of power flow of distributed generations (DGs) and load in the microgrid has great influence on power flow distribution and voltage quality of the distribution network. For improving the voltage quality of the distribution network, the questions need to be further studied, which include the description of the stochasticity of the power flow in the microgrid and the impact of the microgrid into the distribution network on the power flow. Therefore, a novel stochastic power flow calculation and optimal control method for the microgrid based on multivariate stochastic factors fusion-sensitivity (MSFF-sensitivity) is proposed in this paper. Firstly, the multivariate stochastic factors fusion (MSFF) function is developed by using the probability density function to extract the stochasticity and correlation of power flow among different stochastic factors in the microgrid, which are effectively unified. Furthermore, the fusion-sensitivity (F-sensitivity) of the power flow in the microgrid integrated into the distribution network is constructed to accurately characterize the influence degree of various stochastic factors in the microgrid on the power flow of the distribution network. Based on this, the output power of the stochastic factor is adjusted to optimally control the power flow of the distribution network. Finally, the algorithm verification suggests that, compared with the conventional power flow methods, the method proposed in this paper is more suitable for the microgrid. The influence of stochastic power flow on the distribution network can be effectively reduced and the voltage quality of the distribution network can be improved by optimizing control of the power flow in the microgrid integrated into the distribution network. |
| format | Article |
| id | doaj-art-f19deba12f8f4a3cbff65512f03f0573 |
| institution | Kabale University |
| issn | 0020-2940 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj-art-f19deba12f8f4a3cbff65512f03f05732025-01-15T09:03:44ZengSAGE PublishingMeasurement + Control0020-29402025-02-015810.1177/00202940241254225A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – SensitivityHongTao ShiJiahao ZhuKun FengZhuoheng HeJiaming ChangTingting ChenThe stochasticity of power flow of distributed generations (DGs) and load in the microgrid has great influence on power flow distribution and voltage quality of the distribution network. For improving the voltage quality of the distribution network, the questions need to be further studied, which include the description of the stochasticity of the power flow in the microgrid and the impact of the microgrid into the distribution network on the power flow. Therefore, a novel stochastic power flow calculation and optimal control method for the microgrid based on multivariate stochastic factors fusion-sensitivity (MSFF-sensitivity) is proposed in this paper. Firstly, the multivariate stochastic factors fusion (MSFF) function is developed by using the probability density function to extract the stochasticity and correlation of power flow among different stochastic factors in the microgrid, which are effectively unified. Furthermore, the fusion-sensitivity (F-sensitivity) of the power flow in the microgrid integrated into the distribution network is constructed to accurately characterize the influence degree of various stochastic factors in the microgrid on the power flow of the distribution network. Based on this, the output power of the stochastic factor is adjusted to optimally control the power flow of the distribution network. Finally, the algorithm verification suggests that, compared with the conventional power flow methods, the method proposed in this paper is more suitable for the microgrid. The influence of stochastic power flow on the distribution network can be effectively reduced and the voltage quality of the distribution network can be improved by optimizing control of the power flow in the microgrid integrated into the distribution network.https://doi.org/10.1177/00202940241254225 |
| spellingShingle | HongTao Shi Jiahao Zhu Kun Feng Zhuoheng He Jiaming Chang Tingting Chen A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity Measurement + Control |
| title | A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity |
| title_full | A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity |
| title_fullStr | A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity |
| title_full_unstemmed | A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity |
| title_short | A novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion – Sensitivity |
| title_sort | novel stochastic power flow calculation and optimal control method for microgrid based on multivariate stochastic factors fusion sensitivity |
| url | https://doi.org/10.1177/00202940241254225 |
| work_keys_str_mv | AT hongtaoshi anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT jiahaozhu anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT kunfeng anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT zhuohenghe anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT jiamingchang anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT tingtingchen anovelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT hongtaoshi novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT jiahaozhu novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT kunfeng novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT zhuohenghe novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT jiamingchang novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity AT tingtingchen novelstochasticpowerflowcalculationandoptimalcontrolmethodformicrogridbasedonmultivariatestochasticfactorsfusionsensitivity |