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Event-triggered scheme for finite-time distributed economic dispatch in smart grids
Institution:1. National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China;3. Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China;1. DIMES Department, Università della Calabria, Via Pietro Bucci, Cubo 42-C, Rende, CS 87036, Italy;2. DIMEG Department, Università della Calabria, Via Pietro Bucci, Cubo 42-C, Rende, CS 87036, Italy;1. School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094 PR China;2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083 PR China;1. Centro de Investigación en Matemáticas (CIMAT), Guanajuato, México;2. Consejo Nacional de Ciencia y Tecnología (CONACYT), Mexico City, México;1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, 266520, China;2. School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong, 252059, China;3. School of Automation, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, China
Abstract:This paper considers the finite-time distributed economic dispatch problem in smart grids: the power generated by individual generators are designed to satisfy a certain demand while minimizing the total generation cost in a distributed manner, which guarantees the convergence in finite time. The proposed method facilitates the solution of real time power dispatch problems. First, a class of distributed economic dispatch algorithm is proposed to achieve the optimal solution in finite-time with and without capacity limitations. Second, in order to reduce the information exchange requirements, a distributed, asynchronous event-triggered communication scheme is established which is free of Zeno with guaranteed finite-time convergence. Furthermore, both proposed algorithms are robust to the time-varying communication networks. Simulation results illustrate the effectiveness and scalability of the distributed algorithms.
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