Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources
This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. We introduce a novel sensitivity-based control algorithm for Virtual Power Plants (VPPs) that optimiz...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/127 |
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| author | Seokwoo Hyun Geonho Kim Jungsung Park Yunhyuk Choi |
| author_facet | Seokwoo Hyun Geonho Kim Jungsung Park Yunhyuk Choi |
| author_sort | Seokwoo Hyun |
| collection | DOAJ |
| description | This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. We introduce a novel sensitivity-based control algorithm for Virtual Power Plants (VPPs) that optimizes the deployment of distributed energy resources (DERs). Unlike conventional curtailment methods, such as Last In, First Out (LIFO) and Pro-rata, which often overlook the nuanced impacts of individual DERs on grid stability, our approach leverages electrical sensitivity analysis. This analysis quantifies the effect of each DER on voltage stability, allowing resources to be grouped and managed based on their specific sensitivity. By deriving the sensitivity matrix from the Jacobian matrix of power flow equations, the algorithm identifies critical DERs that significantly influence grid conditions, enabling more strategic curtailment decisions. The proposed method was validated using real-world data from Jeju Island, demonstrating improved efficiency and reduced curtailment compared to existing techniques. These findings underscore the potential of sensitivity-based control to enhance the efficiency of renewable energy systems, supporting sustainable energy transitions. |
| format | Article |
| id | doaj-art-a9edf6fe8d2949c69e371a40efcacac6 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-a9edf6fe8d2949c69e371a40efcacac62025-01-10T13:14:31ZengMDPI AGApplied Sciences2076-34172024-12-0115112710.3390/app15010127Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy ResourcesSeokwoo Hyun0Geonho Kim1Jungsung Park2Yunhyuk Choi3Department of Electrical Engineering, Daegu Catholic University, Gyeongsan 38430, Republic of KoreaPower Distribution Laboratory, KEPCO Research Institute, Dajeon 34056, Republic of KoreaPower Distribution Laboratory, KEPCO Research Institute, Dajeon 34056, Republic of KoreaDepartment of Electrical Engineering, Daegu Catholic University, Gyeongsan 38430, Republic of KoreaThis study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. We introduce a novel sensitivity-based control algorithm for Virtual Power Plants (VPPs) that optimizes the deployment of distributed energy resources (DERs). Unlike conventional curtailment methods, such as Last In, First Out (LIFO) and Pro-rata, which often overlook the nuanced impacts of individual DERs on grid stability, our approach leverages electrical sensitivity analysis. This analysis quantifies the effect of each DER on voltage stability, allowing resources to be grouped and managed based on their specific sensitivity. By deriving the sensitivity matrix from the Jacobian matrix of power flow equations, the algorithm identifies critical DERs that significantly influence grid conditions, enabling more strategic curtailment decisions. The proposed method was validated using real-world data from Jeju Island, demonstrating improved efficiency and reduced curtailment compared to existing techniques. These findings underscore the potential of sensitivity-based control to enhance the efficiency of renewable energy systems, supporting sustainable energy transitions.https://www.mdpi.com/2076-3417/15/1/127curtailmentdistributed energy resourcesdistribution systemelectrical sensitivityfuel cell(gas)renewable energy |
| spellingShingle | Seokwoo Hyun Geonho Kim Jungsung Park Yunhyuk Choi Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources Applied Sciences curtailment distributed energy resources distribution system electrical sensitivity fuel cell(gas) renewable energy |
| title | Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources |
| title_full | Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources |
| title_fullStr | Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources |
| title_full_unstemmed | Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources |
| title_short | Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources |
| title_sort | optimal virtual power plant control algorithm considering the electrical characteristics of distributed energy resources |
| topic | curtailment distributed energy resources distribution system electrical sensitivity fuel cell(gas) renewable energy |
| url | https://www.mdpi.com/2076-3417/15/1/127 |
| work_keys_str_mv | AT seokwoohyun optimalvirtualpowerplantcontrolalgorithmconsideringtheelectricalcharacteristicsofdistributedenergyresources AT geonhokim optimalvirtualpowerplantcontrolalgorithmconsideringtheelectricalcharacteristicsofdistributedenergyresources AT jungsungpark optimalvirtualpowerplantcontrolalgorithmconsideringtheelectricalcharacteristicsofdistributedenergyresources AT yunhyukchoi optimalvirtualpowerplantcontrolalgorithmconsideringtheelectricalcharacteristicsofdistributedenergyresources |