AGENT-BASED DISTRIBUTED HIERARCHICAL CONTROL OF DC MICROGRID SYSTEMS
作者： Lexuan Meng , Juan Carlos Vasquez , Josep M Guerrero , Tomislav Dragicevic , None
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摘要: In order to enable distributed control and management for microgrids, this paper explores the application of information consensus local decision- making methods formulating an agent based hierarchical system. A droop controlled paralleled DC/DC converter system is taken as a case study. The objective enhance efficiency by finding optimal sharing ratio load current. Virtual resistances in systems are decision variables. Consensus algorithms applied global discovery coordination. Standard genetic algorithm each search optimum. Hardware-in-Loop simulation results shown demonstrate effectiveness method.
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