This paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids incorporating both dispatchable and non-dispatchable energy sources as well as battery storage. The proposed method is constructed based on a fully distributed consensus-based structure making use of a multi-agent mechanism and alternating direction method of multipliers (ADMM). The proposed framework decomposes the microgrid into several agents within which the neighboring agents share the consensus variable (mismatch power flow) with each other. Each agent tries to minimize its own cost based on the consensus variable value received from the other agents. An augmented objective function is then formulated which is nonlinear and needs to be optimized. Due to the high nonlinearity of the objective function, a new optimization method based on crow search algorithm (CSA) is developed to find the optimal local solutions for each agent and drive the ADMM to have a mature convergence. A modified method based on crossover and mutation operators is introduced to increase the search ability of CSA. The performance of the proposed framework is assessed using a typical hybrid AC-DC microgrid with distributed energy resources. The simulation results show the high efficacy of the proposed method in comparison with other methods.

中文翻译：

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基于混合MCSA-ADMM算法的AC-DC混合微电网分布式控制

本文提出了一个有效的框架，将可调度和不可调度的能源以及电池存储结合在一起，用于混合AC-DC微电网的最优运行管理。所提出的方法是基于完全分布式的基于共识的结构，该结构利用了多智能体机制和乘数的交替方向方法（ADMM）。拟议的框架将微电网分解为几个代理，相邻代理在其中相互共享共有变量（不匹配功率流）。每个代理都试图根据从其他代理接收到的共识变量值来最小化自己的成本。然后制定了增强的目标函数，该函数是非线性的，需要进行优化。由于目标函数的高度非线性，提出了一种基于乌鸦搜索算法（CSA）的优化方法，为每个代理寻找最优的局部解，并驱动ADMM趋于成熟。引入了一种基于交叉和变异算子的改进方法，以提高CSA的搜索能力。使用具有分布式能源的典型混合型AC-DC微电网评估了所提出框架的性能。仿真结果表明，与其他方法相比，该方法具有较高的效率。使用具有分布式能源的典型混合型AC-DC微电网评估了所提出框架的性能。仿真结果表明，与其他方法相比，该方法具有较高的效率。使用具有分布式能源的典型混合型AC-DC微电网评估了所提出框架的性能。仿真结果表明，与其他方法相比，该方法具有较高的效率。