Microgrids are networked control systems with multiple distributed generators(DGs).Microgrids are associated with many problems,such as communication delays,high sampling rates,and frequent controller updates,which ma...
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Microgrids are networked control systems with multiple distributed generators(DGs).Microgrids are associated with many problems,such as communication delays,high sampling rates,and frequent controller updates,which make it challenging to realize coordination control among the ***,finite-time consensus algorithms and event-triggered control methods are combined to propose a distributed coordination control method for microgrid *** DG in the microgrid system serves as an agent node in the control network,and a distributed secondary controller is designed using finite-time consensus algorithm,such that the frequency and voltage restoration control has a faster convergence time and better anti-interference *** event-triggered function was designed based on the state information of the *** controller exchanges the state information at the trigger *** stability is analyzed using the Lyapunov stability theory,and it is verified that the controller cannot exhibit the Zeno phenomenon in the event-triggered process.A simulation platform was developed in Matlab/Simulink to verify that the proposed control method can effectively reduce the frequency of controller updates during communication delays and the burden on the communication network.
This paper presents a fully distributed finite-time dual-layer control system to guarantee an economic global load power sharing for DC multi-microgrids (MGs). Local and global coordination controllers are developed t...
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ISBN:
(纸本)9781728148786
This paper presents a fully distributed finite-time dual-layer control system to guarantee an economic global load power sharing for DC multi-microgrids (MGs). Local and global coordination controllers are developed to handle respectively the optimal operation within a finite settling time for individual MGs and the entire cluster of interconnected MGs by using a dual-layer sparse communication network. In the local control layer, not only the incremental costs (ICs) of all DGs within each MG are equalized to realize optimal load sharing between DGs, but also the local generations and demands are balanced by MG's average voltage restoration using the finitetimeconsensus protocol. Furthermore, the economic power flow among MGs is regulated by the distributed global controllers through fine-tuning of MGs local reference voltages to attain the minimal global total generation cost (TGC). The feasibility of the proposed controller is verified by simulation under various testing scenarios.
In this paper, we present a distributed algorithm based on an alternating direction method of multipliers (ADMM), which is applied to solve economic dispatch problems (EDPs). First, with the help of two indicator func...
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In this paper, we present a distributed algorithm based on an alternating direction method of multipliers (ADMM), which is applied to solve economic dispatch problems (EDPs). First, with the help of two indicator functions, an EDP is transformed to an equivalent optimization problem with only equality constraint and thus can be dealt with ADMM. Second, a centralized algorithm is proposed to solve the transformed EDP, and furthermore, a distributed algorithm is designed with the help of finite-time average-consensus control strategy. Compared with the existing algorithms for EDP, the distributed algorithm can solve the economic dispatch problem on directed graphs. Moreover, the proposed algorithms can ensure that the generator constraints are satisfied during the whole computation process. Finally, some simulation results are also provided to demonstrate the effectiveness of the proposed algorithms.
This paper addresses the voltage restoration and reactive power sharing problem of an autonomous microgrid with inverter-based distributed generations (DGs). A two-layer distributed average control scheme employing a ...
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This paper addresses the voltage restoration and reactive power sharing problem of an autonomous microgrid with inverter-based distributed generations (DGs). A two-layer distributed average control scheme employing a multiagent system (MAS)-based finite-timeconsensus protocol has been proposed to control for autonomous microgrids, where each DG need merely information exchanges via a sparse communication. Accordingly, the proposed distributed average control strategy can be implemented locally for voltage restoration and reactive power sharing by the local communication among DGs. Due to the proposed distributed controllers implemented on local DGs, no central controller is required. Inspired by techniques from the MAS-based finite-time consensus algorithm, the global sharing information (i.e., total voltage deviation and total reactive power deficiency of the microgrid) can be accurately guaranteed in a distributed way. Depending on the discovered global information, the cooperative distributed average voltage control strategy, which involves primary and secondary voltage control, is not only executed to achieve a cooperative average voltage recovery but also ensures accurately reactive power sharing for each local DG and brings some advantages, such as plug-and-play property. Moreover, graph discovery algorithm is employed to achieve the self-expanding microgrids. Simulation results on an autonomous system are provided to show the effectiveness of the proposed control strategy in the MATLAB/SimPowerSystems Toolbox.
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