Expert analysis of the Dongsheng over-tripping & Central Asia blackout.Protection coordination failures,cascading mechanisms & grid recommendations.
Incident summary
Note on sources: the factual account in this article is based on publicly released announcements and media reports; the mechanism analysis reflects engineering logic that is generally applicable across the industry. The final conclusions on both events remain subject to the official investigations.
On the afternoon of 14 August 2026, a large-scale blackout hit the Central Asian Unified Power System. Cities in Kazakhstan, Uzbekistan, Tajikistan and Kyrgyzstan were plunged into darkness, cutting supply to millions of residents.
At 15:08 on 25 August, the third-stage overcurrent protection operated on the 10 kV 962 Maliang Line at the 110 kV Dongsheng Substation in Inner Mongolia. The breaker made one automatic reclose attempt; the attempt was unsuccessful, and the line was taken out of service. On its face this is only a local fault on a distribution feeder, affecting the customers connected to that one line.
Two events, about 2,900 km apart and different in scale by roughly two to three orders of magnitude. Put them side by side and they point at the same fundamental question in relay protection: what, exactly, does “coordination” mean?
Textbooks teach you how to calculate settings, how to apply time-graded coordination, and how to verify sensitivity. Real events never follow the textbook. One of these events happened at an outdoor switch at the far end of a distribution network; the other, on a cross-border 500 kV backbone. They expose the same vulnerability in very different ways: a break in any single link of the coordination chain is magnified by the size of the grid, and the customer pays for it in outage time.
This is the part of the story worth slowing down over. Many people explain a non-selective trip with a vague phrase—“the settings were not properly coordinated”—but the physical chain runs like this:
Protection coordination is a priority chain. It decides who operates first.

The cost of skipping a level of protection is not simply “tripping one level higher up”; it is an expansion—potentially by an order of magnitude—of the affected area. A line-side trip removes one feeder. An upstream trip at the substation can remove a busbar and every feeder supplied from it. In this event the outage was limited to the single line, but the coordination logic had already failed, and a worse outcome was only one step away.
There is one technical point here that is easy to miss. Setting errors and channel faults are two completely different kinds of problem. A channel fault—signals that do not get through—is a “visible” problem: remote monitoring can find it. A setting error is a problem you can stare at and still not see. The waveform records are normal, the messages are normal, the channel is healthy, and the device sits at the wrong threshold doing nothing. That is why a latent setting defect is harder to find than a channel fault: it does not raise an alarm—it simply does nothing.
First: where do the settings come from? Outdoor intelligent breakers are numerous and widely scattered. Their settings are often preconfigured by the manufacturer to generic parameters, and no coordination check against the protection inside the substation is performed at commissioning. Factory defaults are not system-coordinated settings; this is the primary source of inverted settings.
Second: why did commissioning and acceptance not catch it? If commissioning included one mandatory step—“verification of setting coordination with the substation protection”—in which the line-side settings and the substation settings are placed in the same comparison table and their coordination time intervals checked, this would have been found before energisation. That it was not found means either the step was missing from the acceptance checklist or it was performed only on paper.
Third: why did it stay invisible during operation? Settings are scattered across manufacturers, maintenance crews and dispatch centres, with no unified system for circulating setting documents or for periodic re-testing. Once equipment is in service, “set once and never touch it again” is not unusual in distribution networks. Whether settings are re-verified after maintenance, upgrades or setting changes too often depends on the diligence of the crew rather than on a procedure.
All three questions point to the same conclusion. On the surface, the Dongsheng event was caused by an incorrect setting. At its core, it was caused by a gap in the management system for settings.
The evolution of the official account is worth noting:
| Version |
Statement |
Source |
| Early reports |
High summer temperatures drove up demand and increased the stress on the system. |
Media reports citing an early KEGOC notice |
| KEGOC technical account |
Two units at the Toktogul HPP tripped (a loss of about 600 MW), overloading the North–East–South transmission corridor and separating the southern grid. |
KEGOC (as reported) |
| Kyrgyz position |
The brief shutdown of the two Toktogul units was the initial disturbance that changed power flows and triggered protective automation. The country’s own system moved to islanded operation only after a regional disturbance, and later outages in other countries require separate analysis. |
Ministry of Energy of the Kyrgyz Republic |
Discrepancies between sources remain, and the final conclusion is pending the official investigation. But one engineering detail none of the parties can avoid: the cascading operation of the emergency control schemes was a direct contributor to the spread of this outage.
The design philosophy of emergency control schemes (known in China as safety automatic devices) can be summarised in one sentence: when something fails, protect the network as a whole and sacrifice the local part. They act as a safety valve for the grid—when they detect an overloaded transmission section, abnormal frequency, or risk of loss of synchronism, they shed load in a preset order to keep the backbone from collapsing.
That logic is sound, and it is effective for a single fault. But when faults accumulate and the settings of different sections are not coordinated as a whole, the safety valve turns into an amplifier.

The essence of a cascade is that the shedding itself becomes a new disturbance. Each load-shedding action redistributes power flow across the whole grid. If the next device is set for the worst-case conditions of its own section, without accounting for the flows that upstream shedding has shifted onto it, it can spread the fault to lines and sections that were previously healthy. A deficit of 600 MW is a small disturbance in terms of system capacity; yet through the chain “overload → shedding → flow transfer → renewed overload → renewed shedding”, it can end up cutting supply to millions of customers.
One more detail worth thinking about: the 600 MW shortfall itself was not fatal. What was fatal was the absence of system-level coordination between the transfer-capability margins along the path the deficit propagated and the device settings. If load shedding is coordinated in tiers and by section, on the principle of minimising the total load interrupted, many cascades can be stopped at the first stage.
First: why can a small disturbance cascade through an interconnected grid? A cross-border interconnected grid exists so that its members share reserve capacity and support each other. But that also means a disturbance can travel indefinitely along the interconnections. In an islanded system, the trip of a single unit may cause nothing more than a frequency excursion; in an interconnected one, it becomes a surge of cross-border power flow—a test of the coordination margin of every section and every control device.
Second: how wide should the view be when tuning for cascades? Traditionally, emergency control schemes were set for “this plant, this substation, this line”. This event shows that, at the level of an integrated power system, they must be set at system level and at cross-border section level: Country A’s shedding strategy has to account for how it will change the sectional flows in Country B. However precisely individual settings are tuned, nothing is gained if coordination at the system level is missing.
Third: is chaotic incident reporting a minor matter? Early reports attributed the event to high-temperature load; the later technical account revised this to a hydro unit trip. For a cross-border coordinated response, that kind of flip-flop is a serious disruption: when dispatch centres in different countries run scenario studies based on these notices, any change in the input forces them to redo their plans from scratch. Information governance is not a public-relations issue—it is operational infrastructure for a coordinated response.
| Dimension |
Dongsheng Substation (end of the distribution network) |
Four Central Asian countries (cross-border main grid) |
| Failure mode |
Overcurrent on a single feeder |
Unit trip plus section overload |
| Link that failed |
Settings of the outdoor switch inverted |
Cascade of emergency control schemes not coordinated |
| Direct consequence |
Non-selective upstream trip; the backup protection at the substation operated first |
Supply restrictions of about 2,810 MW; widespread outages in several countries |
| Common thread |
The device that should have operated did not; the one that should not have operated did |
A whole section was cut when only one segment needed to be cut |
Put the two side by side and one commonality appears: the boundary between selective operation and backup operation was breached.
The coordination time interval in a distribution network is typically 0.3–0.5 s, while the interlocking coordination in main and interconnected grids runs from milliseconds to seconds. The scales differ; the mathematics is the same. It all comes down to one rule: disconnect the smallest possible part of the network, at the right time, with the right device.

First: a setting is not chosen “arbitrarily”—it is chosen by coordination. However precise an individual device’s settings are, they only mean something in relation to the devices on either side of it. Every number on a setting sheet must answer one question in the coordination chain: “Why am I 0.3 s faster than the device on the source side and 0.3 s slower than the device on the load side?” (Upstream here means the device nearer the source, which is set to operate more slowly.) The outdoor switch settings at Dongsheng were numbers that were correct in isolation and wrong in context.
Second: the larger the grid, the higher the invisible cost of coordination. Coordination within one substation is a handful of setting sheets. Coordination across a multi-regional interconnected grid is a multi-dimensional matrix: the flow limit of every section, the shedding steps of every control device, and the coordination of automatic generation control (AGC) and underfrequency load shedding (UFLS) across countries. If a single cell in that matrix is filled in wrong, the failure shows up on the day of the event as a cascade.
The task described at the start of this article is demanding, and it will get more so. As distributed photovoltaics, energy storage and electric vehicles are connected at scale:
In other words: in distribution networks with high penetration of new energy, the Dongsheng style of setting inversion is bound to appear more often, and each occurrence will cost more to track down. If a standardised management system is not built now, it will be paid for later, in an event.

The Dongsheng event and the blackout across four Central Asian countries look like two isolated grid events—one at the end of a distribution network, the other on a cross-border backbone; one affecting a single feeder, the other four countries. At their core they test the same thing: can protection coordination and emergency control logic cover every switch, every line and every section of the grid?
The lesson from engineering practice is that preventing non-selective trips and cascading outages requires no sophisticated theory. What it requires is:
None of this is glamorous, and none of it makes the news. But day after day it decides one thing: when a fault occurs, will the grid cut off the smallest possible area and restore the largest possible supply—or let a minor fault grow into a major blackout?
With distributed photovoltaics, energy storage and electric vehicles being deployed at scale, the number of protection devices in distribution networks will multiply, and the complexity of setting management will only increase. Building the ledger now, putting the mechanisms in place, and running cascade scenarios in simulation are tasks that every frontline crew and dispatch centre should start on as soon as possible.
Equipment upgrades can wait; faults will not.

(The factual part of this article is based on publicly available announcements and media reports; the mechanism analysis and the recommendations reflect engineering logic in general use across the industry, and are offered for practitioners to discuss and use as reference. The final conclusions on both events remain subject to the official investigations by the countries concerned.)