This paper develops a new management framework for optimal operation of the hybrid AC–DC microgrids incorporating renewable energy sources and storages. Hybrid microgrid consists of two parts of AC and DC to supply the AC and DC loads, respectively. The power exchange capability of hybrid microgrids between the AC and DC parts makes it possible to reduce the total microgrid costs, effectively. To make it a realistic analysis, a stochastic method based on cloud theory is proposed to model the uncertainty effects of wind turbine power, photovoltaic power, load demand and market price sufficiently. The proposed framework makes use of a new optimization algorithm based on flower pollination mechanism to minimize the total network costs through the optimal dispatch of the units. Also, a three-stage modification method is proposed to improve the population diversity and avoid the premature convergence. The performance of the proposed method is examined on the IEEE test system through two different operation scenarios.

中文翻译：

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在混合 AC-DC 微电网中优化能源资源管理的有效随机方法

本文开发了一种新的管理框架，用于优化运行包含可再生能源和存储的混合 AC-DC 微电网。混合微电网由交流和直流两部分组成，分别为交流和直流负载供电。交流和直流部分之间混合微电网的电力交换能力可以有效地降低微电网的总成本。为使其分析具有现实意义，提出了一种基于云理论的随机方法，以充分模拟风力发电机组功率、光伏功率、负载需求和市场价格的不确定性影响。所提出的框架利用基于花授粉机制的新优化算法，通过单元的最优调度来最小化网络总成本。还，提出了一种三阶段修改方法来提高种群多样性并避免早熟收敛。通过两种不同的操作场景，在 IEEE 测试系统上检查了所提出方法的性能。