计及风电概率分布特征的鲁棒实时调度方法

发布时间：2018-06-10 02:07

本文选题：风力发电 + 实时调度　；参考：《中国电机工程学报》2017年03期

【摘要】：风力发电与常规电源相比具有不可控性,大规模的风电并网将使电力系统运行中的不确定性进一步增强,加重电力系统备用负担。同时,含风电的有功调度问题在运用不确定性优化方式进行处理时,算法实用性与结果最优性之间存在矛盾。针对上述问题,该文提出了一种计及风电功率概率分布特征的鲁棒实时调度方法,依据系统运行成本与风电接纳条件风险价值(conditional value-at-risk,CVa R)双重指标,按照鲁棒优化的建模思路构建优化模型,对各自动发电控制机组的运行基点及备用容量进行决策,获得具有统计意义的节点可接纳风电功率的范围。方法体现了鲁棒优化和随机规划方法的融合,调度结果具有概率优性,能有效提高电网运行效益且计算效率较高。通过对简单6节点系统及IEEE 118节点系统的计算与分析验证了文中方法的有效性。
[Abstract]:Wind power generation is uncontrollable compared with conventional power supply. Large-scale wind power grid connection will further enhance the uncertainty of power system operation and increase the reserve burden of power system. At the same time, there is a spear between the utility and the result optimality of the active scheduling problem containing wind power when using the uncertainty optimization method. Shield. In view of the above problems, this paper proposes a robust real-time scheduling method which takes into account the probability distribution characteristics of wind power. According to the dual index of conditional value-at-risk (CVa R) and operating cost of the wind power acceptance condition, the optimization model is built according to the robust optimization modeling method, and the operation of the automatic generation control units is carried out. The basis point and the reserve capacity are made to obtain the range of wind power with statistical significance. The method embodies the fusion of robust optimization and random programming. The scheduling results have the probability optimality. It can effectively improve the efficiency of the power grid operation and the efficiency of calculation is high. Through the simple 6 node system and the IEEE 118 node system, The calculation and analysis verify the effectiveness of the method in this paper.
【作者单位】：电网智能化调度与控制教育部重点实验室(山东大学);中国电力科学研究院;
【基金】：国家自然科学基金项目(51007047) 国家重点基础研究发展计划(973计划)(2013CB228205) 国家电网公司科技项目(XT71-15-056)~~
【分类号】：TM73

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