含高密度间歇性能源的交直流混合微网模糊随机优化运行

Fuzzy Random Optimal Operation of Hybrid AC/DC Microgrid With High Density Intermittent Energy Sources

该文将模糊随机优化理论引入微网优化运行中，以解决高密度间歇性能源的接入给交直流混合微刚带来的曰前调度偏差大及实时不平衡功率调整费用高的问题。基于该优化理论提出了最小化交直流混合微网综合运行成本的模糊随机期望值优化模型和最小化调整费用的实时不平衡功率调整模型，并提出一种模糊随机ADMM算法对不确定优化模型进行求解。最后通过对确定性优化、随机优化和模糊随机优化三种优化方案的目前调度计划和实时不平衡功率调整方案对比分析，证明了基于模糊随机期望值模型在求解含高密度间歇性能源的交直流混合微网调度问题中的有效性。

In this paper, the theory of fuzzy random optimization was introduced into the hybrid AC/DC microgrid optimization operation to meet the demand of reliable operatiun in hybrid AC/DC microgrid with high-density intermittent energy access. Based on the uncertain optimization theory, a fuzzy random expectation model was proposed to minimize the combined operating cost of hybrid AC/DC microgrid. Then a real-time unbalanced power adjustment model was established to minimize the daily adjustment costs. Besides, the fuzzy random ADMM algorithm was improved to solve the fuzzy random optimization. Contrasts from simulation results of deterministic optimization, stochastic optimization and fuzzy random optimization validate the effectiveness of fuzzy random expectation model and algorithm in hybrid AC/DC microgrid optimal operation.