Electrical engineers, power system operators and current transformer (CT) professionals often face a common industry pain point: CTs that perform accurately at rated or high currents usually suffer a sharp accuracy drop and obvious error rise under small current or light load conditions, failing to meet the requirements of high-precision metering and online monitoring.
This is not a manufacturer-specific product defect, but a universal engineering challenge for all electromagnetic CTs, including closed-core and split-core types. The core causes focus on five aspects: magnetic circuit characteristics, winding parameters, signal strength, manufacturing process and environmental interference. Below we will analyze the core reasons and sort out the corresponding optimization ideas.
In the power engineering field, small current conditions for CTs are mainly divided into two categories:
Under these conditions, the CT secondary output signal is inherently extremely weak, and minor interference factors that are negligible in the system will be amplified exponentially, directly converted into visible measurement errors — this is the core cause of out-of-control accuracy at small currents.
The magnetic core is the key component of a CT, and its magnetic performance changes dynamically with the current level, with prominent performance defects at small currents: the core flux density is extremely low at small currents, falling in the initial section of the magnetization curve, leading to violent fluctuations in effective permeability, which directly breaks the fixed proportional relationship between primary and secondary current and damages measurement linearity. Meanwhile, in the low-flux region, the proportion of core remanence increases significantly, and the hysteresis effect is amplified, resulting in inconsistent secondary output for the same current change and extremely poor measurement repeatability.
Small currents correspond to weak voltage or current output on the secondary side. On the one hand, the signal-to-noise ratio (SNR) drops sharply, and electromagnetic interference, circuit noise and temperature drift, which are negligible at high currents, directly become dominant error sources in small-current scenarios, interfering with normal signal acquisition. On the other hand, the same absolute error is negligible at high currents, but the relative error surges and exceeds the standard at small currents due to the extremely small signal base — this is why most CTs only guarantee accuracy within the rated current range instead of full scale.
At small currents, the resistance of the secondary winding and external connecting cables accounts for a significantly increased proportion of the total load, easily leading to insufficient secondary induced voltage and distorted output signals. In addition, problems such as long-distance wiring and mismatched input impedance of acquisition devices in practical applications will shift the CT off its ideal operating point, and this impact will be further amplified at small currents, which is difficult to completely eliminate with conventional compensation methods.
Tiny process flaws such as small core air gaps, split-core CT closure deviations and minor winding errors barely affect overall performance at high currents. However, under small current and low flux conditions, these tiny defects will directly damage the magnetic circuit uniformity and winding symmetry, becoming key factors affecting measurement linearity and consistency.
A systematic optimization approach is required to overcome the challenge of high-precision small-current measurement: adopt special core materials with high linearity and low remanence; optimize winding structure design to reduce winding resistance and stray parameters; reasonably match the secondary load to improve the SNR of the signal acquisition circuit; equip high-precision compensation technology to offset hysteresis and nonlinear errors; and strictly control the production process to eliminate hidden defects such as core air gaps and winding deviations.
The core advantage of high-linearity current transformers is to maintain a stable proportional relationship between current and output across the full scale. They can operate stably not only at 20% and 50% rated load, but also achieve reliable and repeatable high-precision measurement under extremely weak current conditions.
For power, industrial control, new energy and other industries relying on accurate energy consumption monitoring and power quality analysis, high-linearity small-current measurement capability is not an additional advantage, but a core rigid demand to ensure system operation efficiency, meet industry compliance requirements and realize refined cost control.

We use cookies to enhance your browsing experience, serve personalised ads or content, and analyse our traffic. By clicking "Accept All", you consent to our use of cookies.
We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. Show more
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyse the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customised advertisements based on the pages you visited previously and to analyse the effectiveness of the ad campaigns.