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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Attack Buffer and Error Elimination Control for Microgrid FDI Attacks
Conflicts of Interest The authors declare no conflicts of interest. References 1, , , , and , “Hierarchical Control of Droop-Controlled AC and DC Microgrids – A General Approach Toward Standardization,” IEEE Transactions on Industrial Electronics 58, no. 1 (2011): 158–172, https://doi.org/10.1109/TIE.2010.2066534.
A Modified Particle Swarm Algorithm for the Multi-Objective Optimization of Wind/Photovoltaic/Diesel/Storage Microgrids
1. Introduction With the sustainable development of the world’s industry, the power system is also changing from fossil energy to clean energy, such as solar and wind []. As a result, hybrid microgrids have become an increasingly popular way of supplying electricity due to their reliability and operational efficiency []. Microgrids are the integration of distributed generations (DGs), energy storage devices, power electronic converters, and loads into a single system [].
Hierarchical Control and Economic Optimization of Microgrids Considering the Randomness of Power Generation and Load Demand
Abstract : Hierarchical control has emerged as the main method for controlling hybrid microgrids. This paper presents a model of a hybrid microgrid that comprises both AC and DC subgrids, followed by the design of a three-layered control method. An economic objective function is then constructed to account for the uncertainty of power generation and load demand, and the optimal power guidance value is determined using the particle swarm optimization algorithm.
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