[1]王金凤,张慧慧,祝方圆.基于典型场景集的高比例风电系统运行灵活性评估[J].郑州大学学报(工学版),2021,42(6):95-100.[doi:10.13705/j.issn.1671-6833.2021.06.001]
　WANG Jinfeng,ZHANG Huihui,ZHU Fangyuan.Evaluation of System Operational Flexibility of High Proportion Wind Power System Based on the Typical Scene Set[J].Journal of Zhengzhou University (Engineering Science),2021,42(6):95-100.[doi:10.13705/j.issn.1671-6833.2021.06.001]

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基于典型场景集的高比例风电系统运行灵活性评估()

分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:

42

期数:

2021年6期

页码:

95-100

栏目:

出版日期:

2021-11-10

文章信息/Info

Title:

Evaluation of System Operational Flexibility of High Proportion Wind Power System Based on the Typical Scene Set

作者:

王金凤,张慧慧,祝方圆

郑州大学 电气工程学院，河南 郑州 450001

Author(s):

WANG Jinfeng, ZHANG Huihui, ZHU Fangyuan

School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China

关键词:

高比例风电系统; 典型场景集; 灵活性指标; 经济调度; 灵活性资源

Keywords:

high proportion of wind power system;  typical scene set;  flexibility index;  economic dispatching;  flexible resources

DOI:

10.13705/j.issn.1671-6833.2021.06.001

文献标志码:

A

摘要:

随着高比例波动性风电并网、终端负荷多元化和电力电子装备的大量接入，电力系统的形态更加复杂，在系统安全性、可靠性和经济性基础上，亟须提高系统灵活性以实现安全消纳风电和可靠供电的目标。而系统灵活性的评估是灵活性资源配置和规划的基础，为兼顾数据时序性和周期性特征，首先，对风电和负荷功率进行聚类消减和融合，得到系统净负荷典型场景集; 接着，对系统灵活性需求、灵活性供给和灵活性指标建模; 然后，对典型场景集遍历求解加入灵活性约束的经济调度模型，根据调度结果，计算各典型场景灵活性不足的概率和期望; 最后，按典型场景的概率计算系统的灵活性指标，对系统的灵活性进行评价，指导灵活性资源的配置。通过算例验证基于典型场景集评估电力系统灵活性的可行性，结果表明: 在高比例风电系统中，向下的灵活性指标远高于阈值要求，调度结果中出现了大量弃风时刻，浪费了清洁的风能，降低了风机系统的投资回报率。系统中须配置一定容量向下的灵活性资源，以提高系统向下的灵活性。

Abstract:

In a high proportion wind power system, the evaluation of system flexibility is the basis of flexible resource allocation and planning. In order to take into account the temporal and periodic characteristics of data, the typical scene set of the system was obtained after clustering reduction and fusion of wind power and load. Then, the flexibility demand, flexibility supply and flexibility index of the system were modeled. Then, the economic scheduling model with flexibility constraints is solved by traversing the typical scenarios. According to the scheduling results, the probability and expectation of insufficient flexibility of each typical scenario are calculated. Finally, the flexibility index of the system was calculated according to the probability of typical scenarios, and the flexibility of the system was evaluated to guide the allocation of flexibility resources. Through the example analysis, it was found that in the high-proportion wind power system, the downward flexibility resource was only the thermal power unit in operation, and the downward flexibility index did not meet the threshold requirement. A certain downward flexibility resource should be configured in the system, otherwise, a large number of wind abandon would occur.

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