Energy regulator supply restoration time
In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf |
| _version_ | 1796993358195851264 |
|---|---|
| author | Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž |
| author_facet | Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž |
| author_sort | Mohd Ikhwan, Muhammad Ridzuan |
| collection | UMP |
| description | In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers from long excessive duration of interruptions, the use of MTTR input seems reasonable. Since modern distribution networks are shifting towards smart grid, some factors must be considered in the reliability assessment process. For networks that apply reconfiguration functionalities and/or network automation, the duration of interruptions experienced by a customer due to faulty network components should be addressed with an automation switch or manual action time that does not exceed the regulator supply restoration time. Hence, this paper introduces a comprehensive methodology of substituting MTTR with maximum action time required to replace/repair a network component and to restore customer duration of interruption with maximum network reconfiguration time based on energy regulator supply requirements. The Monte Carlo simulation (MCS) technique was applied to medium voltage (MV) suburban networks to estimate system-related reliability indices. In this analysis, the purposed method substitutes all MTTR values with time to supply (TTS), which correspond with the UK Guaranteed Standard of Performance (GSP-UK), by the condition of the MTTR value being higher than TTS value. It is nearly impossible for all components to have a quick repairing time, only components on the main feeder were selected for time substitution. Various scenarios were analysed, and the outcomes reflected the applicability of reconfiguration and the replace/repair time of network component. Theoretically, the network reconfiguration (option 1) and component replacement (option 2) with the same amount of repair time should produce exactly the same outputs. However, in simulation, these two options yield different outputs in terms of number and duration of interruptions. Each scenario has its advantages and disadvantages, in which the distribution network operators (DNOs) were selected based on their operating conditions and requirements. The regulator reliability-based network operation is more applicable than power loss-based network operation in counties that employed energy regulator requirements (e.g., GSP-UK) or areas with many factories that required a reliable continuous supply. |
| first_indexed | 2024-03-06T12:32:47Z |
| format | Article |
| id | UMPir24834 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:32:47Z |
| publishDate | 2019 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | UMPir248342019-07-04T01:43:09Z http://umpir.ump.edu.my/id/eprint/24834/ Energy regulator supply restoration time Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž TK Electrical engineering. Electronics Nuclear engineering In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers from long excessive duration of interruptions, the use of MTTR input seems reasonable. Since modern distribution networks are shifting towards smart grid, some factors must be considered in the reliability assessment process. For networks that apply reconfiguration functionalities and/or network automation, the duration of interruptions experienced by a customer due to faulty network components should be addressed with an automation switch or manual action time that does not exceed the regulator supply restoration time. Hence, this paper introduces a comprehensive methodology of substituting MTTR with maximum action time required to replace/repair a network component and to restore customer duration of interruption with maximum network reconfiguration time based on energy regulator supply requirements. The Monte Carlo simulation (MCS) technique was applied to medium voltage (MV) suburban networks to estimate system-related reliability indices. In this analysis, the purposed method substitutes all MTTR values with time to supply (TTS), which correspond with the UK Guaranteed Standard of Performance (GSP-UK), by the condition of the MTTR value being higher than TTS value. It is nearly impossible for all components to have a quick repairing time, only components on the main feeder were selected for time substitution. Various scenarios were analysed, and the outcomes reflected the applicability of reconfiguration and the replace/repair time of network component. Theoretically, the network reconfiguration (option 1) and component replacement (option 2) with the same amount of repair time should produce exactly the same outputs. However, in simulation, these two options yield different outputs in terms of number and duration of interruptions. Each scenario has its advantages and disadvantages, in which the distribution network operators (DNOs) were selected based on their operating conditions and requirements. The regulator reliability-based network operation is more applicable than power loss-based network operation in counties that employed energy regulator requirements (e.g., GSP-UK) or areas with many factories that required a reliable continuous supply. MDPI AG 2019-03-19 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf Mohd Ikhwan, Muhammad Ridzuan and Djokić, Saša Ž (2019) Energy regulator supply restoration time. Energies, 12 (6). pp. 1-16. ISSN 1996-1073. (Published) https://doi.org/10.3390/en12061051 https://doi.org/10.3390/en12061051 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž Energy regulator supply restoration time |
| title | Energy regulator supply restoration time |
| title_full | Energy regulator supply restoration time |
| title_fullStr | Energy regulator supply restoration time |
| title_full_unstemmed | Energy regulator supply restoration time |
| title_short | Energy regulator supply restoration time |
| title_sort | energy regulator supply restoration time |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf |
| work_keys_str_mv | AT mohdikhwanmuhammadridzuan energyregulatorsupplyrestorationtime AT djokicsasaz energyregulatorsupplyrestorationtime |