Parallel current sharing and cluster cooperative control constitute the core technical approach for high‑power expansion, redundant backup and highly reliable operation of high‑voltage power supplies. By paralleling standardized modules, output power can be rapidly scaled from tens of kilowatts to tens of megawatts while supporting N+1/M+N redundancy. When one module fails, the system continues operating without shutdown, enabling maintenance during runtime. This fundamentally resolves the typical drawbacks of traditional high‑power high‑voltage supplies, such as heavy customization, long development cycles, low reliability and difficult maintenance. The technology is widely applicable to new energy, power systems, industry, scientific research, aerospace and other fields. Eight core technical challenges exist in parallel current sharing and cluster cooperative control for general high‑voltage power supplies.
First, high‑precision current sharing. Parameter deviations, drive delays and line impedance differences among parallel modules cause uneven current distribution, leading to overcurrent, overload and thermal damage. Current sharing accuracy must reach ≤±2% even under large load fluctuations. Second, dynamic response and system stability. Parallel systems are strongly coupled multi‑input multi‑output structures prone to oscillation, current imbalance and slow dynamics. Cluster control must ensure dynamic response ≤100 μs under step load changes with voltage fluctuation ≤±3% and no overshoot or oscillation. Third, redundancy, fault tolerance and hot swapping. N+1 redundancy requires automatic isolation of faulty modules with seamless load transfer without voltage drop or interruption, while supporting hot swapping for online replacement. Fourth, circulating current suppression. Output voltage differences and impedance mismatches generate inter‑module circulating currents that increase loss and damage devices, especially in high‑voltage systems. Circulating current must be limited ≤5% of rated current. Fifth, long‑distance synchronization. In large‑scale field installations with module distances up to hundreds of meters, signal delay and voltage drop degrade current sharing and stability, requiring distance‑independent high‑precision synchronization. Sixth, multi‑mode adaptability. Systems must support constant voltage, constant current, constant power and pulsed operation with flexible adjustment of parallel quantities without hardware or software modification. Seventh, anti‑interference and reliable communication. Complex electromagnetic environments cause communication errors or dropout, risking current imbalance and system collapse. Fully isolated, noise‑resistant communication is essential. Eighth, cluster‑level intelligent operation and energy management. Large parallel systems require overall condition monitoring, early fault warning, efficiency optimization and intelligent load allocation to maximize reliability, energy efficiency and service life.
Addressing these challenges, the methodology establishes a universal framework featuring distributed hierarchical control, adaptive current sharing algorithms, redundant fault tolerance and cluster‑level intelligent management. It supports large‑scale parallel expansion of 2~100 modules with current sharing ≤±2%, N+1 redundancy and seamless hot swap capability, overcoming traditional limitations in customization, reliability and maintenance. The design follows eight core principles. First, a three‑layer distributed hierarchical architecture adopts module‑level local controllers for voltage/current loops and protection; unit‑level controllers for intra‑unit synchronization and fault handling; and cluster master controllers for mode management, load scheduling, efficiency optimization and full‑system monitoring. Three control modes — master–slave, autonomous and distributed — allow flexible deployment from simple autonomous parallel operation to massive clusters exceeding 100 units. Second, triple adaptive current sharing combines droop control for basic communication‑free autonomous balancing, active current sharing via high‑speed data exchange to achieve ≤±2% accuracy, and feedforward compensation to accelerate dynamics. Step load changes from 0~100% maintain current deviation ≤±3% with response ≤100 μs. Adaptive parameter tuning optimizes performance according to parallel quantity and module characteristics. Third, circulating current suppression and stability optimization adopt output impedance matching to minimize inherent imbalance, closed‑loop circulating current feedback to limit circulation ≤5% rated current, and small‑signal stability enhancement to ensure phase margin ≥45° and gain margin ≥10 dB across all operating points for oscillation‑free parallel operation. Fourth, full redundancy and hot swap control implement rapid hardware fault detection within 1 μs for overcurrent, overvoltage, short circuit and overtemperature. Faulty modules are isolated instantly while remaining units redistribute loads within 100 μs with voltage drop ≤±3% and no interruption. Standardized hot swap protocols eliminate surge, arcing and system disturbance during online replacement. Fifth, long‑distance synchronization uses optical fiber communication with ultra‑low delay ≤5 ns/m and high noise immunity, supporting distances up to tens of kilometers. FPGA‑based nanosecond clock distribution ensures synchronous PWM timing ≤100 ns regardless of cable length, preserving current sharing accuracy in large field layouts. Sixth, multi‑mode flexible operation supports constant voltage, constant current, constant power, pulse and bidirectional charging/discharging with one‑click mode switching. The system automatically identifies online module additions or removals and adapts current sharing parameters for plug‑and‑play scalability, shortening delivery and commissioning cycles. Seventh, dual redundant high‑reliability communication deploys optical fiber for high‑speed synchronous data and CAN bus for status and commands, providing backup against single link failure. All interfaces feature full isolation ≥2.5 kVAC with error checking and retransmission mechanisms to ensure data integrity in harsh electromagnetic environments. Eighth, cluster intelligent operation and energy management realize full‑system real‑time monitoring of voltage, current, temperature, health status and runtime, supporting remote diagnosis, early warning and firmware upgrades. Intelligent load distribution allocates power according to module efficiency and aging balance, while dynamic module scheduling avoids light‑load inefficiency to optimize overall energy consumption. Embedded fault diagnosis accurately locates failures and automatically generates maintenance guidance, greatly reducing operational difficulty and cost.