鲁棒性驱动的含风电不确定性区域间调峰互济方法

发布时间：2018-05-03 23:04

本文选题：风力发电 + 不确定性　；参考：《电力系统自动化》2017年07期

【摘要】：随着风电的大规模并网,其出力的不确定性和反负荷特性使受电区域面临严峻的风电消纳和调峰问题,进行区域间调峰互济是解决该问题的有效途径之一。在区域间调峰互济的调度模型基础上,引入信息间隙决策理论处理风电不确定性,量化分析了风电出力波动对系统调峰及运行成本的影响,将风电波动引起的成本变化引入到调度模型中,将双层优化问题转化为单层优化问题,建立了考虑风电不确定性的区域间调峰互济改进模型,该模型可求得区域间调峰互济的鲁棒策略。最后,通过算例仿真验证了所提模型的有效性,结果表明通过改进模型解得的调峰互济策略与传统模型解得的策略相比,对于风电波动具有更好的鲁棒性,可有效减少弃风并降低总运行成本。
[Abstract]:With the large-scale grid connection of wind power, the uncertainty of output and the characteristics of anti-load make the receiving area face the severe problem of wind power absorption and peak-shaving. One of the effective ways to solve this problem is to carry out inter-region peak-shaving and peak-shaving. On the basis of the dispatching model of inter-region peak-shaving interaction, the information gap decision theory is introduced to deal with the uncertainty of wind power, and the influence of wind power output fluctuation on the peak shaving and operating cost of the system is analyzed quantitatively. The cost variation caused by wind power fluctuation is introduced into the dispatching model, and the bilevel optimization problem is transformed into a single-layer optimization problem, and an improved model of inter-region peak-shaving and mutual assistance considering the uncertainty of wind power is established. This model can be used to obtain the robust strategy of peak-shaving and mutual aid between regions. Finally, the effectiveness of the proposed model is verified by a numerical example. The results show that the proposed peak-shaving strategy is more robust to wind power fluctuation than that of the traditional model. It can effectively reduce the abandoned wind and reduce the total operating cost.
【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);上海理工大学电气工程系;
【基金】：国家自然科学基金资助项目(51377103) 国家电网公司科技项目(520800150014)~~
【分类号】：TM614;TM73

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