含电动汽车的虚拟电厂鲁棒随机优化调度

发布时间：2018-03-31 09:12

本文选题：虚拟电厂　切入点：电动汽车　出处：《电力系统自动化》2017年06期

【摘要】：随着电动汽车和分布式电源接入电网的比例不断提升,虚拟电厂为有效解决电动汽车、分布式电源并网提供了新思路。由于可调度充放电的电动汽车数量和分布式电源出力存在明显的不确定性,因此虚拟电厂优化调度时必须考虑这些不确定性。在此背景下,采用场景模拟技术处理风电出力的不确定性,形成经典场景。针对可调度电动汽车数量的随机性与不确定性,利用鲁棒优化方法建立了原模型的对偶模型,构建含电动汽车的虚拟电厂鲁棒随机优化调度模型。算例分析证明了所提模型具有实用性和有效性,在优化调度模型中考虑不确定性的影响,可减小实际日运行成本,提高优化策略的鲁棒性。结果表明鲁棒系数和置信水平影响了日运行成本,通过合理制定燃气轮机等常规机组的发电计划可以减小日运行成本。
[Abstract]:As the proportion of electric vehicles and distributed sources connected to the grid continues to rise, virtual power plants are designed to effectively solve the problem of electric vehicles. Because there are obvious uncertainties in the number of electric vehicles and the output of distributed power supply, these uncertainties must be taken into account in the optimal scheduling of virtual power plants. The scene simulation technique is used to deal with the uncertainty of wind power output, and the classical scenario is formed. Aiming at the randomness and uncertainty of the number of schedulable electric vehicles, the dual model of the original model is established by using robust optimization method. The robust stochastic optimal dispatching model of a virtual power plant with electric vehicles is constructed. An example shows that the proposed model is practical and effective. Considering the influence of uncertainty in the optimal scheduling model, the actual daily operation cost can be reduced. The results show that the daily operation cost is affected by the robustness coefficient and confidence level, and the daily operation cost can be reduced by making a reasonable generation plan for conventional units such as gas turbines.
【作者单位】：河海大学能源与电气学院;国网宁夏电力公司;
【基金】：国家自然科学基金资助项目(51277052) 中国博士后科学基金资助项目(2015M571653) 中央高校基本科研业务费专项资金资助项目(2015B02714)~~
【分类号】：TM73

【相似文献】