This article proposes an advanced solution for the energy management of the islanded ac-dc microgrids using an intelligent agent approach. This approach provides islanded ac-dc microgrids with three main operating agents (i.e., ac microgrid, dc microgrid, and system operator agents) communicating with each other at each operating time interval to increase system levels of performance, efficiency, and reliability. Bidirectional communication allows data collection and control command flow between ac microgrid, dc microgrid, and system operator to not only minimize ac and dc operational costs but also minimize ac-dc conversion costs, perform optimal demand shifting and minimize load shedding using a progressive strategy. For the optimization purpose, this article uses an advanced multiobjective particle swarm optimization engine to effectively solve the problem of each agent. To test the precision and operational performance of the proposed solution, a 33-node islanded ac-dc microgrid with diverse ac-dc generating resources and loads is studied.

中文翻译：

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基于智能代理的孤岛AC__C微电网能源管理系统


本文提出了一种使用智能代理方法对孤岛交流-直流微电网进行能源管理的先进解决方案。这种方法为孤岛式交流-直流微电网提供了三个主要运行代理（即交流微电网、直流微电网和系统运营代理），它们在每个运行时间间隔相互通信，以提高系统的性能、效率和可靠性水平。双向通信允许交流微电网、直流微电网和系统运营商之间的数据收集和控制命令流，不仅最大限度地降低交流和直流运营成本，而且最大限度地降低交流-直流转换成本，执行最佳需求转移并使用渐进策略最大限度地减少负荷削减。出于优化目的，本文使用先进的多目标粒子群优化引擎来有效解决每个智能体的问题。为了测试所提出解决方案的精度和运行性能，研究了具有多种交流-直流发电资源和负载的33节点孤岛式交流-直流微电网。