基于随机优化理论的输电网规划研究综述

发布时间：2018-11-17 17:34

【摘要】：以风、光、水为代表的可再生能源大规模并网环境下,负荷增长预测的误差以及输变电设备的随机故障等,使电力系统面临复杂的不确定性。如何在规划阶段模拟这些随机因素,提高规划方案的可操作性,是电网规划人员亟需解决的问题。从不确定因素的处理方式入手,系统地阐述了随机优化理论在输电网规划中的应用。以期望值、多场景及机会约束模型为代表,从其特征、处理方式等角度分析了各自的优缺点及研究方向。在此基础上,总结了输电网规划中2类重要的求解方法及常用的凸优化求解器。最后,结合当前电网规划的背景及发展趋势,展望了未来输电网规划模型中应该考虑及注意的问题。
[Abstract]:In the large-scale grid-connected environment of renewable energy, such as wind, light and water, the error of load growth prediction and the random fault of transmission and transformation equipment make the power system face complex uncertainty. How to simulate these random factors in the planning stage and improve the maneuverability of the planning scheme are the urgent problems to be solved by the power network planners. The application of stochastic optimization theory in transmission network planning is systematically expounded from the way of dealing with uncertain factors. Based on the expected value, multi-scene and opportunity constraint model, the advantages and disadvantages and research direction of each model are analyzed from the point of view of its characteristics, processing methods and so on. On this basis, two kinds of important solving methods and common convex optimization solvers in transmission network planning are summarized. Finally, according to the background and development trend of current power network planning, the paper looks forward to the problems that should be considered and paid attention to in the future transmission network planning model.
【作者单位】：电力传输与功率变换控制教育部重点实验室(上海交通大学);中国电力科学研究院;国家电网公司华东分部;国网北京市电力公司;
【基金】：国家重点基础研发项目(2016YFB0900102) 国家自然科学基金重点项目(51337005)~~
【分类号】：TM715

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