Adaptive synchronization of complex dynamic networks with switching parameters subject to state constraints in power system |
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| Affiliation: | 1. Institute of Automation, Qufu Normal University, Qufu 273165, China;2. College of Control Science and Engineering, Bohai University, Jinzhou 121013, China;1. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, 163318, China;2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, 163318, China;3. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing, 163318, China;1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China;2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, PR China;3. Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, Liaoning, PR China;1. School of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006, PR China;2. School of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing 404100, PR China;1. Department of Mathematics, Alagappa University, Karaikudi 630 004, India;2. Ramanujan Centre for Higher Mathematics, Alagappa University, Karaikudi 630 004, India;3. Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, School of Mathematics, Southeast University, Nanjing 211189, China;4. School of Mathematics and Statistics, Shandong Normal University, Ji’nan 250014, China;5. Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai, Thailand;6. School of Electrical Engineering, Nantong University, Nantong 226019, China |
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| Abstract: | This paper deals with the synchronization control of power complex networks with switching parameters. In the meantime, the node state constraints are considered during the synchronization process. Admittedly, synchronization problem encountered in power complex networks is becoming progressively important due to the increasing connection and disconnection operations resulting from sustainable energy and controllable load. Hereon, the network model considering switching parameters of each node is established to describe the topology variation of power systems that may be confronted in practical terms. Then, by utilizing the adaptive backstepping technique with a barrier Lyapunov function (BLF), a novel synchronization controller is constructed recursively which accomplishes the nodes full states tracking within the predefined transient behavior. Owing to the characteristic of BLF, the designed controller as well as its adaptive law could guarantee both the constrained state of each node restricted by a prescribed range and the synchronization performance. Meanwhile, the bounded output of the system could track the desired trajectory. Finally, scenario simulations are performed to demonstrate the effectiveness and superiority of the proposed method. |
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