半月刊
ISSN 1000-1026
CN 32-1180/TP
半月刊
ISSN 1000-1026
CN 32-1180/TP
电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061
鲁棒优化是一种利用区间扰动信息，在最劣扰动条件下进行最优决策的优化方法，因其具有基础数据易得、计算效率高、适用于大规模系统求解等优点，近来，被应用于电力系统的调度决策问题。文中在阐明鲁棒优化自身特点的基础上，首先，对鲁棒优化方法在电力系统机组组合问题中的应用进行了介绍，阐述了连续性、偶发性扰动模式下的鲁棒优化方法建模规律，讨论了常用不确定集的形式和保守度的控制方法；其次，介绍了鲁棒优化方法在经济调度问题中的研究现状，介绍了三类典型方法，包括自适应鲁棒优化方法、含仿射矫正过程的实时调度鲁棒优化方法和最大化可接受扰动范围鲁棒优化方法，并对其各自的特点进行了阐述；最后，对该领域研究面临的关键问题和未来的发展方向进行了探讨和分析。
国家重点基础研究发展计划(973计划)资助项目(2013CB228205)；国家自然科学基金资助项目(51007047)；山东省自然科学基金资助项目(ZR2014EEM022)；山东大学青年学者未来计划资助项目(2015WLJH43)
Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University), Ministry of Education, Jinan 250061, China
Robust optimization, as one of the optimization methods utilizing disturbance molded by interval, is intended to find optimal decision under the worst disturbance conditions. It can be applied to power system dispatch and decision-making for its advantages, such as data availability, computing efficiency and applicability of large-scale systems, etc. First of all, on the basis of illustrating the characteristics of robust optimization itself, this paper introduces the application of robust optimization to unit commitment problems in power system, expounds the law of model-building under continuity and accidental disturbance, discusses the commonly used uncertainty sets and ways to limit the degree of conservatism. Secondly, this paper describes current researches on robust optimization in economic dispatch problems, presents the characteristics of three kinds of typical methods, including adaptive robust optimization, robust optimization considering affine policy and robust optimization with the objective to maximize the acceptable range of deviations. Finally, key problems and future direction in this field of research are discussed and analyzed. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228205), National Natural Science Foundation of China (No. 51007047), Shandong Provincial Natural Science Foundation of China (No. ZR2014EEM022), and Young Scholars Program of Shandong University (No. 2015WLJH43).
| [1] | 于丹文,杨明,翟鹤峰,等.鲁棒优化在电力系统调度决策中的应用研究综述[J].电力系统自动化,2016,40(7):134-143. DOI:10.7500/AEPS20150728008. YU Danwen, YANG Ming, ZHAI Hefeng, et al. An Overview of Robust Optimization Used for Power System Dispatch and Decision-making[J]. Automation of Electric Power Systems, 2016, 40(7):134-143. DOI:10.7500/AEPS20150728008. |
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