Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas
The rise of plug-in electric vehicles (EVs) impacts the energy demand of power systems. This study employed a multi-period power flow analysis on the IEEE 123 node test system, which was optimized for the installation of 6-position EV charging stations. Temporal load shifting was utilized to control...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Faculty of Engineering, Mahasarakham University, Kham Riang Subdistrict, Kantharawichai District, Maha Sarakham Province, Postal Code 44150, Thailand.
2024-06-01
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| Series: | Engineering Access |
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| Online Access: | https://ph02.tci-thaijo.org/index.php/mijet/article/view/252502 |
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| author | Noppanut Chitgreeyan Pongsuk Pilalum Supapradit Marsong Somchat Sonasang Prakasit Prabpal Dieu Ngoc Vo Krittidet Buayai Kaan Kerdchuen Yuttana Kongjeen |
| author_facet | Noppanut Chitgreeyan Pongsuk Pilalum Supapradit Marsong Somchat Sonasang Prakasit Prabpal Dieu Ngoc Vo Krittidet Buayai Kaan Kerdchuen Yuttana Kongjeen |
| author_sort | Noppanut Chitgreeyan |
| collection | DOAJ |
| description | The rise of plug-in electric vehicles (EVs) impacts the energy demand of power systems. This study employed a multi-period power flow analysis on the IEEE 123 node test system, which was optimized for the installation of 6-position EV charging stations. Temporal load shifting was utilized to control the charging intervals of electric vehicles. Non-dominated Sorting Genetic Algorithm (NSGA-II) was applied to determine the optimal locations for installing EV charging stations, considering target functions, such as total energy loss, voltage unbalance factor (VUF), and center load distance. The results showed that the center load distance resulted in the optimal charging station location in the central area of the system, different from conventional considerations. The results showed that installing the charging station in the center of the load group (case 4) increased the total energy loss and VUF compared to installing it at the root of the load group (case 3) by about 2.1134 and 1.2287%, respectively. However, EVs reduced impacts during periods of system weakness. By controlling charging intervals during off-peak times (case 6), total energy loss and VUF were decreased by 4.7070 and 5.6896%, respectively, which effectively reduced energy demand during peak periods. |
| first_indexed | 2025-03-21T11:50:00Z |
| format | Article |
| id | doaj.art-4993581c59294c9e9f127339c6a377ac |
| institution | Directory Open Access Journal |
| issn | 2730-4175 |
| language | English |
| last_indexed | 2025-03-21T11:50:00Z |
| publishDate | 2024-06-01 |
| publisher | Faculty of Engineering, Mahasarakham University, Kham Riang Subdistrict, Kantharawichai District, Maha Sarakham Province, Postal Code 44150, Thailand. |
| record_format | Article |
| series | Engineering Access |
| spelling | doaj.art-4993581c59294c9e9f127339c6a377ac2024-07-01T14:23:35ZengFaculty of Engineering, Mahasarakham University, Kham Riang Subdistrict, Kantharawichai District, Maha Sarakham Province, Postal Code 44150, Thailand.Engineering Access2730-41752024-06-011029010210.14456/mijet.2024.12Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station AreasNoppanut Chitgreeyan0Pongsuk Pilalum1Supapradit Marsong2Somchat Sonasang3Prakasit Prabpal4Dieu Ngoc Vo5Krittidet Buayai6Kaan Kerdchuen7Yuttana Kongjeen8Rajamangala University of Technology Isan, ThailandRajamangala University of Technology Isan, ThailandThonburi university, ThailandNakhon Phanom University, ThailandSakonnakhon Technical College, ThailandHo Chi Minh City University of Technology (HCMUT), VietnamRajamangala University of Technology Isan, ThailandRajamangala University of Technology Isan, ThailandRajamangala University of Technology Isan, ThailandThe rise of plug-in electric vehicles (EVs) impacts the energy demand of power systems. This study employed a multi-period power flow analysis on the IEEE 123 node test system, which was optimized for the installation of 6-position EV charging stations. Temporal load shifting was utilized to control the charging intervals of electric vehicles. Non-dominated Sorting Genetic Algorithm (NSGA-II) was applied to determine the optimal locations for installing EV charging stations, considering target functions, such as total energy loss, voltage unbalance factor (VUF), and center load distance. The results showed that the center load distance resulted in the optimal charging station location in the central area of the system, different from conventional considerations. The results showed that installing the charging station in the center of the load group (case 4) increased the total energy loss and VUF compared to installing it at the root of the load group (case 3) by about 2.1134 and 1.2287%, respectively. However, EVs reduced impacts during periods of system weakness. By controlling charging intervals during off-peak times (case 6), total energy loss and VUF were decreased by 4.7070 and 5.6896%, respectively, which effectively reduced energy demand during peak periods.https://ph02.tci-thaijo.org/index.php/mijet/article/view/252502center load distanceenergy demand controlev charging stationmulti-period power flownsga-iitemporal load shiftingunbalance power flow |
| spellingShingle | Noppanut Chitgreeyan Pongsuk Pilalum Supapradit Marsong Somchat Sonasang Prakasit Prabpal Dieu Ngoc Vo Krittidet Buayai Kaan Kerdchuen Yuttana Kongjeen Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas Engineering Access center load distance energy demand control ev charging station multi-period power flow nsga-ii temporal load shifting unbalance power flow |
| title | Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas |
| title_full | Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas |
| title_fullStr | Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas |
| title_full_unstemmed | Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas |
| title_short | Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging Station Areas |
| title_sort | multi period optimization of energy demand control for electric vehicles in unbalanced electrical power systems considering the center load distance of charging station areas |
| topic | center load distance energy demand control ev charging station multi-period power flow nsga-ii temporal load shifting unbalance power flow |
| url | https://ph02.tci-thaijo.org/index.php/mijet/article/view/252502 |
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