A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant
Floating nuclear power plants contain sensitive loads of nuclear reactors. After equipment faults, fast and efficient power supply recovery should be realized. To realize the unified analysis of system topology and power flow distribution, a power supply recovery strategy based on Petri nets is prop...
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MDPI AG
2022-09-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/18/9026 |
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author | Yikai Wang Xin Yin Xianggen Yin Jian Qiao Liming Tan |
author_facet | Yikai Wang Xin Yin Xianggen Yin Jian Qiao Liming Tan |
author_sort | Yikai Wang |
collection | DOAJ |
description | Floating nuclear power plants contain sensitive loads of nuclear reactors. After equipment faults, fast and efficient power supply recovery should be realized. To realize the unified analysis of system topology and power flow distribution, a power supply recovery strategy based on Petri nets is proposed. Considering that systems of different voltage levels cannot be connected instantaneously, a two-stage power supply recovery mode is adopted. Emergency power supply is put in first, and then the whole network is reconstructed. In the network reconstruction process, load transfer is realized through switching the transformation to redistribute the load of each switchboard and adjust the power output of each power source. Corresponding to the Petri net model, the above process is similar to the dynamic transmission process of a token in each library by firing the transition. Therefore, the topological model of system is constructed based on the Petri net, and a power flow analysis is proposed through its dynamic updating mechanism. The objective function of the network reconstruction is established by integrating load recovery amount, switch operation cost and generator operation efficiency, and the optimal switching state combination scheme that satisfies the system constraints is obtained by the multi-population genetic algorithm (MPGA). Simulation results show that the proposed method can provide complete power supply recovery. |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T00:50:40Z |
publishDate | 2022-09-01 |
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spelling | doaj.art-21eb088b929f4c8eab86391ba70d79c12023-11-23T14:51:51ZengMDPI AGApplied Sciences2076-34172022-09-011218902610.3390/app12189026A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power PlantYikai Wang0Xin Yin1Xianggen Yin2Jian Qiao3Liming Tan4State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, ChinaDepartment of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3BX, UKState Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, ChinaState Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, ChinaFloating nuclear power plants contain sensitive loads of nuclear reactors. After equipment faults, fast and efficient power supply recovery should be realized. To realize the unified analysis of system topology and power flow distribution, a power supply recovery strategy based on Petri nets is proposed. Considering that systems of different voltage levels cannot be connected instantaneously, a two-stage power supply recovery mode is adopted. Emergency power supply is put in first, and then the whole network is reconstructed. In the network reconstruction process, load transfer is realized through switching the transformation to redistribute the load of each switchboard and adjust the power output of each power source. Corresponding to the Petri net model, the above process is similar to the dynamic transmission process of a token in each library by firing the transition. Therefore, the topological model of system is constructed based on the Petri net, and a power flow analysis is proposed through its dynamic updating mechanism. The objective function of the network reconstruction is established by integrating load recovery amount, switch operation cost and generator operation efficiency, and the optimal switching state combination scheme that satisfies the system constraints is obtained by the multi-population genetic algorithm (MPGA). Simulation results show that the proposed method can provide complete power supply recovery.https://www.mdpi.com/2076-3417/12/18/9026floating nuclear power plantspower supply recoveryPetri netnetwork reconstructionpower flow analysis |
spellingShingle | Yikai Wang Xin Yin Xianggen Yin Jian Qiao Liming Tan A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant Applied Sciences floating nuclear power plants power supply recovery Petri net network reconstruction power flow analysis |
title | A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant |
title_full | A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant |
title_fullStr | A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant |
title_full_unstemmed | A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant |
title_short | A Petri Net-Based Power Supply Recovery Strategy for the Electric Power System of Floating Nuclear Power Plant |
title_sort | petri net based power supply recovery strategy for the electric power system of floating nuclear power plant |
topic | floating nuclear power plants power supply recovery Petri net network reconstruction power flow analysis |
url | https://www.mdpi.com/2076-3417/12/18/9026 |
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