电机与控制应用2025，Vol.52Issue(9)：995-1005,11.DOI:10.12177/emca.2025.086
考虑源荷不确定性的微电网最优经济运行
The Optimal Economic Operation of a Microgrid Considering Source-Load Uncertainty
摘要
Abstract
[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.关键词
微电网/源荷不确定性/最优经济运行/混合哈里斯鹰优化算法Key words
microgrid/source-load uncertainty/optimal economic operation/hybrid Harris Hawk optimization algorithm分类
信息技术与安全科学引用本文复制引用
李佳讯,张寿明,杨森..考虑源荷不确定性的微电网最优经济运行[J].电机与控制应用,2025,52(9):995-1005,11.基金项目
国家自然科学基金(62263018)National Natural Science Foundation of China(62263018) （62263018）
