Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions
Recent natural disasters and man-made attacks have imposed substantial challenges on power distribution companies and consumers. The integration of photovoltaic (PV) systems into power distribution networks has risen due to environmental, technical, and economic factors. Additionally, technological...
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10900375/ |
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| author | Mohammad Taghi Ettehad Reza Mohammadi Chabanloo Mohammad Taghi Ameli |
| author_facet | Mohammad Taghi Ettehad Reza Mohammadi Chabanloo Mohammad Taghi Ameli |
| author_sort | Mohammad Taghi Ettehad |
| collection | DOAJ |
| description | Recent natural disasters and man-made attacks have imposed substantial challenges on power distribution companies and consumers. The integration of photovoltaic (PV) systems into power distribution networks has risen due to environmental, technical, and economic factors. Additionally, technological advancements have made it possible to provide reactive power using PV systems and battery energy storage (BES) systems. This article proposes a comprehensive framework for the optimal allocation of PV and BES systems within the power distribution system to minimize energy losses and energy not served (ENS) during normal conditions, as well as load interruption under emergency conditions. The framework models the formation of small microgrids, accounting for operational and physical limitations, coordinating them with the network recovery process, and considering various production and load scenarios to maximize the restoration of interrupted loads during emergency conditions. An analysis has been conducted to determine the penetration levels of BES in power distribution systems under these conditions. A Mixed-Integer Quadratic Programming (MIQP) formulation is employed for cost optimization, with the model coded in MATLAB and implemented on a modified IEEE 33-bus network. Results demonstrate that the proposed method significantly enhances the distribution network’s resilience during emergencies, achieving a 22.3% reduction in load interruptions and a 26.5% decrease in associated costs. Additionally, energy losses are reduced by 6.7%, while ENS improves by 7.2% compared to configurations optimized solely for normal conditions. This research underscores the importance of strategically integrating PV and BES systems to improve performance metrics in normal and emergency scenarios within power distribution networks. |
| format | Article |
| id | doaj-art-eefb9a00e42f457fbdc4b0ed9a781b4e |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-eefb9a00e42f457fbdc4b0ed9a781b4e2025-08-20T02:02:09ZengIEEEIEEE Access2169-35362025-01-0113364363645010.1109/ACCESS.2025.354466210900375Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency ConditionsMohammad Taghi Ettehad0https://orcid.org/0009-0001-2349-335XReza Mohammadi Chabanloo1https://orcid.org/0000-0002-3211-9386Mohammad Taghi Ameli2Electrical Engineering Department, Shahid Beheshti University, Tehran, IranElectrical Engineering Department, Shahid Beheshti University, Tehran, IranElectrical Engineering Department, Shahid Beheshti University, Tehran, IranRecent natural disasters and man-made attacks have imposed substantial challenges on power distribution companies and consumers. The integration of photovoltaic (PV) systems into power distribution networks has risen due to environmental, technical, and economic factors. Additionally, technological advancements have made it possible to provide reactive power using PV systems and battery energy storage (BES) systems. This article proposes a comprehensive framework for the optimal allocation of PV and BES systems within the power distribution system to minimize energy losses and energy not served (ENS) during normal conditions, as well as load interruption under emergency conditions. The framework models the formation of small microgrids, accounting for operational and physical limitations, coordinating them with the network recovery process, and considering various production and load scenarios to maximize the restoration of interrupted loads during emergency conditions. An analysis has been conducted to determine the penetration levels of BES in power distribution systems under these conditions. A Mixed-Integer Quadratic Programming (MIQP) formulation is employed for cost optimization, with the model coded in MATLAB and implemented on a modified IEEE 33-bus network. Results demonstrate that the proposed method significantly enhances the distribution network’s resilience during emergencies, achieving a 22.3% reduction in load interruptions and a 26.5% decrease in associated costs. Additionally, energy losses are reduced by 6.7%, while ENS improves by 7.2% compared to configurations optimized solely for normal conditions. This research underscores the importance of strategically integrating PV and BES systems to improve performance metrics in normal and emergency scenarios within power distribution networks.https://ieeexplore.ieee.org/document/10900375/Resiliencyreliabilitypower lossesphotovoltaic systemsbattery energy storage systems |
| spellingShingle | Mohammad Taghi Ettehad Reza Mohammadi Chabanloo Mohammad Taghi Ameli Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions IEEE Access Resiliency reliability power losses photovoltaic systems battery energy storage systems |
| title | Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions |
| title_full | Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions |
| title_fullStr | Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions |
| title_full_unstemmed | Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions |
| title_short | Improving Power Distribution Resilience Through Optimal PV and BES Allocation With a Cost-Based Optimization Framework for Normal and Emergency Conditions |
| title_sort | improving power distribution resilience through optimal pv and bes allocation with a cost based optimization framework for normal and emergency conditions |
| topic | Resiliency reliability power losses photovoltaic systems battery energy storage systems |
| url | https://ieeexplore.ieee.org/document/10900375/ |
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