Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System
The development of DC distribution network technology has provided a more efficient way for renewable energy accommodation and flexible power supply. A two-stage stochastic scheduling model for the hybrid AC/DC distribution network is proposed to study the active-reactive power coordinated optimal d...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/1/181 |
| _version_ | 1818536170442719232 |
|---|---|
| author | Peng Kang Wei Guo Weigang Huang Zejing Qiu Meng Yu Feng Zheng Yachao Zhang |
| author_facet | Peng Kang Wei Guo Weigang Huang Zejing Qiu Meng Yu Feng Zheng Yachao Zhang |
| author_sort | Peng Kang |
| collection | DOAJ |
| description | The development of DC distribution network technology has provided a more efficient way for renewable energy accommodation and flexible power supply. A two-stage stochastic scheduling model for the hybrid AC/DC distribution network is proposed to study the active-reactive power coordinated optimal dispatch. In this framework, the wind power scenario set is utilized to deal with its uncertainty in real time, which is integrated into the decision-making process at the first stage. The charging/discharging power of ESSs and the transferred active/reactive power by VSCs can be adjusted when wind power uncertainty is observed at the second stage. Moreover, the proposed model is transformed into a mixed integer second-order cone programming optimization problem by linearization and second-order cone relaxation techniques to solve. Finally, case studies are implemented on the modified IEEE 33-node AC/DC distribution system and the simulation results demonstrate the effectiveness of the proposed stochastic scheduling model and solving method. |
| first_indexed | 2024-12-11T18:34:30Z |
| format | Article |
| id | doaj.art-63a48e773cc74d788d2b56ca46544f63 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-11T18:34:30Z |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-63a48e773cc74d788d2b56ca46544f632022-12-22T00:54:48ZengMDPI AGApplied Sciences2076-34172019-12-0110118110.3390/app10010181app10010181Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage SystemPeng Kang0Wei Guo1Weigang Huang2Zejing Qiu3Meng Yu4Feng Zheng5Yachao Zhang6State Grid Energy Saving Service Co., Ltd., Beijing 100052, ChinaState Grid Energy Saving Service Co., Ltd., Beijing 100052, ChinaState Grid Energy Saving Service Co., Ltd., Beijing 100052, ChinaNanrui group company/State Grid Electric Power Research Institute, Nanjing 210000, ChinaNanrui group company/State Grid Electric Power Research Institute, Nanjing 210000, ChinaSchool of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, ChinaSchool of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, ChinaThe development of DC distribution network technology has provided a more efficient way for renewable energy accommodation and flexible power supply. A two-stage stochastic scheduling model for the hybrid AC/DC distribution network is proposed to study the active-reactive power coordinated optimal dispatch. In this framework, the wind power scenario set is utilized to deal with its uncertainty in real time, which is integrated into the decision-making process at the first stage. The charging/discharging power of ESSs and the transferred active/reactive power by VSCs can be adjusted when wind power uncertainty is observed at the second stage. Moreover, the proposed model is transformed into a mixed integer second-order cone programming optimization problem by linearization and second-order cone relaxation techniques to solve. Finally, case studies are implemented on the modified IEEE 33-node AC/DC distribution system and the simulation results demonstrate the effectiveness of the proposed stochastic scheduling model and solving method.https://www.mdpi.com/2076-3417/10/1/181hybrid ac/dc distribution networkvoltage source converteractive and reactive power coordinationtwo-stage stochastic programming |
| spellingShingle | Peng Kang Wei Guo Weigang Huang Zejing Qiu Meng Yu Feng Zheng Yachao Zhang Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System Applied Sciences hybrid ac/dc distribution network voltage source converter active and reactive power coordination two-stage stochastic programming |
| title | Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System |
| title_full | Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System |
| title_fullStr | Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System |
| title_full_unstemmed | Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System |
| title_short | Two-Stage Stochastic Programming Scheduling Model for Hybrid AC/DC Distribution Network Considering Converters and Energy Storage System |
| title_sort | two stage stochastic programming scheduling model for hybrid ac dc distribution network considering converters and energy storage system |
| topic | hybrid ac/dc distribution network voltage source converter active and reactive power coordination two-stage stochastic programming |
| url | https://www.mdpi.com/2076-3417/10/1/181 |
| work_keys_str_mv | AT pengkang twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT weiguo twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT weiganghuang twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT zejingqiu twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT mengyu twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT fengzheng twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem AT yachaozhang twostagestochasticprogrammingschedulingmodelforhybridacdcdistributionnetworkconsideringconvertersandenergystoragesystem |