Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads
Most of the power electronic components act as non-linear loads because they draw non- sinusoidal current from the power supply. Due to these non-linear loads, current harmonics are injected in the power network. For normal operation, any power network is equipped with provisions to keep the harmoni...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/8/3/369 |
| _version_ | 1811186407032487936 |
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| author | Ishan Srivastava Sunil Bhat Agarala Ajaysekhar Reddy |
| author_facet | Ishan Srivastava Sunil Bhat Agarala Ajaysekhar Reddy |
| author_sort | Ishan Srivastava |
| collection | DOAJ |
| description | Most of the power electronic components act as non-linear loads because they draw non- sinusoidal current from the power supply. Due to these non-linear loads, current harmonics are injected in the power network. For normal operation, any power network is equipped with provisions to keep the harmonics level to a minimum value. Whenever a fault occurs in the distribution system, the primary goal is to re-energize the healthy part of the network which got interrupted. It can be done by changing the topology of the network. This method is called as Service Restoration (SR). In this paper, a service restoration strategy is proposed when non-linear loads are present in the radial distribution system. Service restoration problem is formulated as a multi-objective, constrained optimization problem. Three new objectives are included to address the problem of harmonics injection by non-linear loads. Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) are used to find the optimal switching sequence for restoration. To test the effectiveness of the proposed methodology, IEEE 33 bus and IEEE 69 bus test systems are taken. |
| first_indexed | 2024-04-11T13:46:02Z |
| format | Article |
| id | doaj.art-36bfa169a866439baa0220c0abaa30f9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T13:46:02Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-36bfa169a866439baa0220c0abaa30f92022-12-22T04:21:05ZengMDPI AGElectronics2079-92922019-03-018336910.3390/electronics8030369electronics8030369Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear LoadsIshan Srivastava0Sunil Bhat1Agarala Ajaysekhar Reddy2Electrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur 440010, IndiaElectrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur 440010, IndiaElectrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur 440010, IndiaMost of the power electronic components act as non-linear loads because they draw non- sinusoidal current from the power supply. Due to these non-linear loads, current harmonics are injected in the power network. For normal operation, any power network is equipped with provisions to keep the harmonics level to a minimum value. Whenever a fault occurs in the distribution system, the primary goal is to re-energize the healthy part of the network which got interrupted. It can be done by changing the topology of the network. This method is called as Service Restoration (SR). In this paper, a service restoration strategy is proposed when non-linear loads are present in the radial distribution system. Service restoration problem is formulated as a multi-objective, constrained optimization problem. Three new objectives are included to address the problem of harmonics injection by non-linear loads. Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) are used to find the optimal switching sequence for restoration. To test the effectiveness of the proposed methodology, IEEE 33 bus and IEEE 69 bus test systems are taken.https://www.mdpi.com/2079-9292/8/3/369distribution automationmeta-heuristic optimizationpower quality |
| spellingShingle | Ishan Srivastava Sunil Bhat Agarala Ajaysekhar Reddy Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads Electronics distribution automation meta-heuristic optimization power quality |
| title | Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads |
| title_full | Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads |
| title_fullStr | Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads |
| title_full_unstemmed | Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads |
| title_short | Multi-Objective Service Restoration of Radial Distribution System in the Presence of Non-Linear Loads |
| title_sort | multi objective service restoration of radial distribution system in the presence of non linear loads |
| topic | distribution automation meta-heuristic optimization power quality |
| url | https://www.mdpi.com/2079-9292/8/3/369 |
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