An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration
With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system tr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/2/191 |
| _version_ | 1818264628636942336 |
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| author | Yuancheng Zhao Yanbo Che Dianmeng Wang Huanan Liu Kun Shi Dongmin Yu |
| author_facet | Yuancheng Zhao Yanbo Che Dianmeng Wang Huanan Liu Kun Shi Dongmin Yu |
| author_sort | Yuancheng Zhao |
| collection | DOAJ |
| description | With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users’ charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered. |
| first_indexed | 2024-12-12T19:37:56Z |
| format | Article |
| id | doaj.art-bf7942f27bdd49089b926d604d5afae2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-12T19:37:56Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bf7942f27bdd49089b926d604d5afae22022-12-22T00:14:16ZengMDPI AGApplied Sciences2076-34172018-01-018219110.3390/app8020191app8020191An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into ConsiderationYuancheng Zhao0Yanbo Che1Dianmeng Wang2Huanan Liu3Kun Shi4Dongmin Yu5Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaDepartment of Electrical Engineering, Northeast Electric Power University, Jilin 132012, ChinaChina Electric Power Research Institute, Beijing 100192, ChinaDepartment of Electrical Engineering, Northeast Electric Power University, Jilin 132012, ChinaWith the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users’ charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered.http://www.mdpi.com/2076-3417/8/2/191domestic electric vehiclescharging strategynetwork transmission lossseasonal factorthe 0-1 integer programming |
| spellingShingle | Yuancheng Zhao Yanbo Che Dianmeng Wang Huanan Liu Kun Shi Dongmin Yu An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration Applied Sciences domestic electric vehicles charging strategy network transmission loss seasonal factor the 0-1 integer programming |
| title | An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration |
| title_full | An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration |
| title_fullStr | An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration |
| title_full_unstemmed | An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration |
| title_short | An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration |
| title_sort | optimal domestic electric vehicle charging strategy for reducing network transmission loss while taking seasonal factors into consideration |
| topic | domestic electric vehicles charging strategy network transmission loss seasonal factor the 0-1 integer programming |
| url | http://www.mdpi.com/2076-3417/8/2/191 |
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