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This paper presents a distributed pinning droop control mechanism for accurate active and reactive power sharing in isolated converter-fed microgrids (MG). Under this framework, both power converters and loads in the MG are treated as agents in a multiagent system (MAS). Since only a fraction of the agents in the network have access to critical information, the required communication bandwidth and...
This paper presents a distributed communication-based droop control mechanism for accurate active and reactive power sharing in isolated converter-fed micro-grids(MG). Under this framework, the power converters and loads in the MG are regarded as multi-agent system (MAS). Then, one special MAS control, known as pinning control, is used as a secondary controller to improve the performance of the power...
This paper reports real-time Available Transfer Capability (ATC) assessment of multi-area power systems in a distributed computational framework. Calculation of ATC is formulated as a non-linear optimal power flow problem which is solved by Optimality Conditions Decomposition (OCD) techniques. This coordination and decomposition methodology is implemented in a distributed computing environment which...
Accurate active power and reactive power sharing is one of the key control objectives for autonomous operations of isolated micro-grids (MGs). Traditionally, this task is achieved by decentralized droop control. Since such class of decentralized droop control may lead to inaccurate power sharing under the system with non-uniform transmission lines, various methods have been proposed to overcome this...
Reliable and efficient distributed algorithms for power restoration are essential for self-healing electrical smart grids. Therefore, this paper presents a Multi-Agent System (MAS) for automatic restoration in power distribution networks. Moreover, as electrical demand fluctuates on the hourly and daily basis, an ensemble learning algorithm has been adopted for short-term forecasting of electrical...
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