A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability
With the large amount of distributed generation in use, the structure of the distribution system is increasingly complex. Therefore, it is necessary to establish a method to improve load reliability. Based on the reliability model of distributed generation, this paper investigates the time sequentia...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/11/6/1558 |
| _version_ | 1798004942996242432 |
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| author | Yinze Ren Hongbin Wu Hejun Yang Shihai Yang Zhixin Li |
| author_facet | Yinze Ren Hongbin Wu Hejun Yang Shihai Yang Zhixin Li |
| author_sort | Yinze Ren |
| collection | DOAJ |
| description | With the large amount of distributed generation in use, the structure of the distribution system is increasingly complex. Therefore, it is necessary to establish a method to improve load reliability. Based on the reliability model of distributed generation, this paper investigates the time sequential simulation of a wind/solar/storage combined power supply system under off-grid operation. After classifying the load by power supply region, the load weight coefficient is established, which modifies the reliability index of the load point and system. The modified expected energy not supplied (EENS) is adopted as the objective function, and the particle swarm optimization algorithm is used to solving the optimal energy scheduling for improving the load reliability. Finally, the load reliability is calculated with a hybrid method. Using the IEEE-RBTS Bus 6 system as an example, the correctness and validity of the proposed method are verified as an effective way to improve load reliability. |
| first_indexed | 2024-04-11T12:32:37Z |
| format | Article |
| id | doaj.art-bc4dc1c24e87442f8a453e0f48291137 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:32:37Z |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bc4dc1c24e87442f8a453e0f482911372022-12-22T04:23:43ZengMDPI AGEnergies1996-10732018-06-01116155810.3390/en11061558en11061558A Method for Load Classification and Energy Scheduling Optimization to Improve Load ReliabilityYinze Ren0Hongbin Wu1Hejun Yang2Shihai Yang3Zhixin Li4School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaSchool of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, ChinaState Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, ChinaState Grid Jiangsu Electric Power Co. Ltd., Nanjing 210024, ChinaWith the large amount of distributed generation in use, the structure of the distribution system is increasingly complex. Therefore, it is necessary to establish a method to improve load reliability. Based on the reliability model of distributed generation, this paper investigates the time sequential simulation of a wind/solar/storage combined power supply system under off-grid operation. After classifying the load by power supply region, the load weight coefficient is established, which modifies the reliability index of the load point and system. The modified expected energy not supplied (EENS) is adopted as the objective function, and the particle swarm optimization algorithm is used to solving the optimal energy scheduling for improving the load reliability. Finally, the load reliability is calculated with a hybrid method. Using the IEEE-RBTS Bus 6 system as an example, the correctness and validity of the proposed method are verified as an effective way to improve load reliability.http://www.mdpi.com/1996-1073/11/6/1558load classificationenergy schedulingload reliabilityPSO algorithm |
| spellingShingle | Yinze Ren Hongbin Wu Hejun Yang Shihai Yang Zhixin Li A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability Energies load classification energy scheduling load reliability PSO algorithm |
| title | A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability |
| title_full | A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability |
| title_fullStr | A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability |
| title_full_unstemmed | A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability |
| title_short | A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability |
| title_sort | method for load classification and energy scheduling optimization to improve load reliability |
| topic | load classification energy scheduling load reliability PSO algorithm |
| url | http://www.mdpi.com/1996-1073/11/6/1558 |
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