Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting
Distribution networks are commonly used to demonstrate low-voltage problems. A new method to improve voltage quality is using battery energy storage stations (BESSs), which has a four-quadrant regulating capacity. In this paper, an optimal dispatching model of a distributed BESS considering peak loa...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9214976/ |
| _version_ | 1819243091187466240 |
|---|---|
| author | Xiangjun Li Rui Ma Wei Gan Shijie Yan |
| author_facet | Xiangjun Li Rui Ma Wei Gan Shijie Yan |
| author_sort | Xiangjun Li |
| collection | DOAJ |
| description | Distribution networks are commonly used to demonstrate low-voltage problems. A new method to improve voltage quality is using battery energy storage stations (BESSs), which has a four-quadrant regulating capacity. In this paper, an optimal dispatching model of a distributed BESS considering peak load shifting is proposed to improve the voltage distribution in a distribution network. The objective function is to minimize the power exchange cost between the distribution network and the transmission network and the penalty cost of the voltage deviation. In the process, various constraints are considered, including the node power balance, single/two-way power flow, peak load shifting, line capacity, voltage deviation, photo-voltaic station operation, main transformer capacity, and power factor of the distribution network. The big <tex>$M$</tex> method is used to linearize the nonlinear variables in the objective function and constraints, and the model is transformed into a mixed-integer linear programming problem, which significantly improves the model accuracy. Simulations are performed using the modified IEEE 33-node system. A typical time period is selected to analyze the node voltage variation, and the results show that the maximum voltage deviation can be reduced from 14.06% to 4.54%. The maximum peak-valley difference of the system can be reduced from 8.83 to 4.23 MW, and the voltage qualification rate can be significantly improved. Moreover, the validity of the proposed model is verified through simulations. |
| first_indexed | 2024-12-23T14:50:11Z |
| format | Article |
| id | doaj.art-1b2a98dd20f7473ab4baa87ee6cac7b0 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-12-23T14:50:11Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-1b2a98dd20f7473ab4baa87ee6cac7b02022-12-21T17:42:57ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202022-01-0110113113910.35833/MPCE.2020.0001839214976Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load ShiftingXiangjun Li0Rui Ma1Wei Gan2Shijie Yan3State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute,Beijing,ChinaState Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute,Beijing,ChinaState Key Laboratory of Control and Operation of Renewable Energy and Storage Systems, China Electric Power Research Institute,Beijing,ChinaCollege of Information and Engineering, Northeastern University,Shenyang,ChinaDistribution networks are commonly used to demonstrate low-voltage problems. A new method to improve voltage quality is using battery energy storage stations (BESSs), which has a four-quadrant regulating capacity. In this paper, an optimal dispatching model of a distributed BESS considering peak load shifting is proposed to improve the voltage distribution in a distribution network. The objective function is to minimize the power exchange cost between the distribution network and the transmission network and the penalty cost of the voltage deviation. In the process, various constraints are considered, including the node power balance, single/two-way power flow, peak load shifting, line capacity, voltage deviation, photo-voltaic station operation, main transformer capacity, and power factor of the distribution network. The big <tex>$M$</tex> method is used to linearize the nonlinear variables in the objective function and constraints, and the model is transformed into a mixed-integer linear programming problem, which significantly improves the model accuracy. Simulations are performed using the modified IEEE 33-node system. A typical time period is selected to analyze the node voltage variation, and the results show that the maximum voltage deviation can be reduced from 14.06% to 4.54%. The maximum peak-valley difference of the system can be reduced from 8.83 to 4.23 MW, and the voltage qualification rate can be significantly improved. Moreover, the validity of the proposed model is verified through simulations.https://ieeexplore.ieee.org/document/9214976/Energy storage stationdistribution network voltage regulationpeak load shiftingmixed integer programming |
| spellingShingle | Xiangjun Li Rui Ma Wei Gan Shijie Yan Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting Journal of Modern Power Systems and Clean Energy Energy storage station distribution network voltage regulation peak load shifting mixed integer programming |
| title | Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting |
| title_full | Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting |
| title_fullStr | Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting |
| title_full_unstemmed | Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting |
| title_short | Optimal Dispatch for Battery Energy Storage Station in Distribution Network Considering Voltage Distribution Improvement and Peak Load Shifting |
| title_sort | optimal dispatch for battery energy storage station in distribution network considering voltage distribution improvement and peak load shifting |
| topic | Energy storage station distribution network voltage regulation peak load shifting mixed integer programming |
| url | https://ieeexplore.ieee.org/document/9214976/ |
| work_keys_str_mv | AT xiangjunli optimaldispatchforbatteryenergystoragestationindistributionnetworkconsideringvoltagedistributionimprovementandpeakloadshifting AT ruima optimaldispatchforbatteryenergystoragestationindistributionnetworkconsideringvoltagedistributionimprovementandpeakloadshifting AT weigan optimaldispatchforbatteryenergystoragestationindistributionnetworkconsideringvoltagedistributionimprovementandpeakloadshifting AT shijieyan optimaldispatchforbatteryenergystoragestationindistributionnetworkconsideringvoltagedistributionimprovementandpeakloadshifting |