1.大连理工大学电气工程学院,116024,辽宁大连
2.哈尔滨理工大学电气与电子工程学院,150080,哈尔滨
收稿:2026-06-24,
修回:2026-08-13,
录用:2026-08-14,
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王浩然, 罗东琦, 张明泽, 等. 分布式资源聚合参与频率紧急控制的控制性能评价方法[J/OL]. 西安交通大学学报, 2026.
WANG Haoran, LUO Dongqi, ZHANG Mingze, et al. Control Performance Evaluation Method for Aggregated Distributed Energy Resources Participating in Frequency Emergency Control[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026.
为实现对海量异构分布式资源及由其聚合而成的虚拟控制单元参与频率紧急控制时的控制性能进行评价,提出了一种分布式资源聚合参与频率紧急控制的控制性能评价方法。对于虚拟控制单元整体的控制性能评价,根据电网频率紧急控制相关要求,选取达到稳态前后两部分内实际有功功率相较要求越限导致的欠、过调节电量为评价参量,对应设计4个评价指标;对于所聚合分布式资源个体的控制性能评价,根据聚合特点和资源个体动态特性,选取调节持续、幅度、速度、延迟4个评价参量,对应设计4个指标。算例分析表明:在正常和3类不同异常场景中,所提方法均能够可靠反映虚拟控制单元与分布式资源个体的控制性能并进行正确评价;在部分场景中已有静态方法出现误判时,所提方法能够更为有效地识别异常执行情况,相比已有静态方法更为可靠;量测采样间隔和噪声情况对所提评价指标的计算存在一定影响,当采样间隔≤0.1 s、采用3点移动平均法等方法进行噪声预处理时,评价指标计算误差相对较小。
To evaluate the control performance of large numbers of heterogeneous distributed energy resources (DERs) and the virtual control unit (VCU) formed by aggregating them during frequency emergency control
this paper proposes a control performance evaluation method for aggregated DERs. At the VCU level
in accordance with relevant grid requirements for frequency emergency control
the under- and over-regulation energies caused by violations of the prescribed active-power bounds during the transient and steady-state stages are selected as evaluation quantities
and four corresponding indices are developed. At the individual DER level
regulation duration
amplitude
speed
and delay are selected as evaluation quantities based on aggregation characteristics and resource dynamics
and four corresponding indices are developed. Case studies under normal conditions and three types of abnormal conditions show that the proposed method reliably reflects and correctly evaluates the control performance of both VCUs and individual DERs. In scenarios where existing static methods produce misclassifications
the proposed method more effectively identifies abnormal responses of VCUs and individual DERs and is therefore more reliable. The measurement sampling interval and noise affect the calculation of the proposed indices. When the sampling interval does not exceed 0.1 s and measurement data are preprocessed using a three-point moving average or a similar noise-reduction method
the index calculation errors remain relatively small.
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