【目的】随着微电网技术的不断发展与完善，可再生能源的利用愈发被重视。源荷不确定性对微电网安全以及经济运行造成的影响不容忽视，为了解决微电网最优经济运行问题，提出了一种混合哈里斯鹰优化(HHHO)算法。【方法】首先，建立了一种考虑源荷不确定性的最优微电网调度模型。其次，提出了一种结合精英策略和差异学习机制的HHHO算法。精英策略通过保留种群中的精英个体，提高了算法的收敛速度；差异学习机制通过增强有效信息的传播，优化了算法搜索的精度。然后，提出了一种基于拉丁超立方采样-概率距离的混合场景削减方法，将削减后的等效场景作为微电网经济运行的依据。最后，通过测试函数和场景仿真，验证了所提HHHO算法的优越性。【结果】测试函数试验结果表明所提HHHO算法具有较高的求解精度和较快的收敛速度。在风能和光伏波动等场景下的仿真结果表明，HHHO算法显著减少了微电网的总体运行成本，具有一定的优越性。【结论】所提HHHO算法可实现微电网的最优经济运行，为微电网的长期经济运行提供了理论支持。

[Objective] With the continuous development and improvement of microgrid technology, the use of renewable energy is increasingly valued. The impact of source-load uncertainty on microgrid security as well as economic operation cannot be ignored, and in order to solve the problem of optimal economic operation of microgrid, a hybrid Harris Hawk optimization (HHHO) algorithm is proposed. [Methods] Firstly, an optimal microgrid scheduling model considering source-load uncertainty was developed. Secondly, a HHHO algorithm combining elite strategy and differential learning mechanism was proposed. The elite strategy improved the convergence speed of the algorithm by retaining the elite individuals in the population. The differential learning mechanism optimized the accuracy of the algorithm’s search by enhancing the dissemination of valid information. Then, a hybrid scene reduction method based on Latin hypercubic sampling-probabilistic distance was proposed, and the reduced equivalent scene was used as the basis for the economic operation of the microgrid. Finally, the superiority of the proposed HHHO algorithm was verified by test functions and scene simulations. [Results] The test function experimental results showed that the proposed HHHO algorithm had high solution accuracy and fast convergence speed. Simulation results in scenarios such as wind and photovoltaic fluctuations showed that the HHHO algorithm was highly superior and significantly reduced the overall operating cost of the microgrid. [Conclusion] The proposed HHHO algorithm enables optimal economic operation of microgrids and provides theoretical support for long-term economic operation of microgrid.

国家自然科学基金(62263018)