Understanding MPPT for Increased Efficiency in PV Inverters
Amid the accelerating energy transition, solar power has emerged as a leading renewable energy source—indeed, 2025 was a record-breaking year for solar growth, up 25% on 2024 [1]. Last year also saw new solar capacity significantly more than double all other new renewable capacity (it was roughly even in 2024), Figure 1. Its generative capacity is growing at 18 times the rate of gas. And renewables have overtaken coal’s generative capacity for the first time in over a century.
Figure 1: The year 2025 was a record-breaking year for PV generation (Source: Ember, Global Electricity Review 2026)
As a core component of PV systems, the inverter not only performs power conversion but also determines the overall energy efficiency of the system via maximum power point tracking (MPPT).
As there is a nonlinear relationship between a PV module’s output power and voltage, variations in irradiance or temperature can cause the operating point to drift away from the maximum power point. MPPT algorithms are therefore essential in adjusting the operating state of inverters in real time to keep the PV panels at the maximum power point.
MPPT speeds the transition from fossil generation
As PV deployment accelerates, inverter architectures continue to evolve, and the number of MPPT channels, their configuration methods, and hardware implementation have become critical variables in system design.
These algorithms are therefore a crucial path to increasing the capacity that is actually delivered per PV cell and to enabling the cost-effective displacement of fossil fuel capacity. And they are particularly critical now, with the rise of AI creating a surge in electricity demand, meaning huge ramps in renewable capacity are needed just to prevent fossil generation from growing.
The 2026 Ember Global Electricity Review brings good news [1], however. Last year, new renewable installations (and particularly PV) did just that. The report particularly highlighted China’s and India’s roles in this and highlighted that global solar generation was now the same size as the total electricity demand of the EU.
An analysis of the report by the climate expert and science communicator Simon Clark also stated the growth in renewables was so large it had “officially pushed fossil fuels into reverse for the first time,” clarifying that while falls had happened previously, these were the result of the pandemic (2020) and recessions (2008) and no fall in demand had occurred in 2025.
Starting from a look at the energy flow path, this article will give an overview of the principles of MPPT, its technical implementation pathways, and corresponding solutions across three mainstream inverter architectures.
MPPT 101
The implementation of MPPT functionality relies on the precise, stable, and efficient operation of the entire power and information chain and ensures the operating state of PV modules at the maximum power point—as per the graph in Figure 2.
The MPPT function operates through three interlinked stages: voltage/current sensing, computation, and driving, with the MPPT algorithms taking the real-time data from the sensors, calculating the optimal operating point, and outputting this to the driver circuitry to precisely execute gate operation to maintain this optimum.
While voltage sensing is relatively straightforward, accurate current measurement is more challenging, with Hall-effect sensors having a measurement accuracy of ±65 A and the ability to output linear voltage signals needed for the control system to precisely capture power states (Figure 3).
For undertaking the computation, the MPPT real-time control system will typically be implemented via either an MCU or DSP, with the controller executing the internal MPPT algorithm, both determining the operating point and converting this instruction into high-frequency, high-precision PWM signals to precisely regulate the operating state of the power devices.
Lastly, the driving phase should use robust and reliable gate drivers as well as power devices to ensure accurate execution of the MCU’s commands. Ideally, this phase should implement current-input isolated single-channel gate drivers and feature a dual-capacitor reinforced isolation architecture—typical application circuits for MOSFET and buffer drivers can be seen in Figure 4.
Advanced encoding technologies in the gate drivers will also enable high (200 kV/μs) common-mode transient immunity and deliver enhanced system safety, stability, and efficiency.
Finally, a stable and reliable power management IC should be adopted, and a current-mode PWM controller will be particularly suitable for flyback topologies, delivering the stability and efficiency to support stable and high-performance sampling, control, and driving functions.
MPPT count and configuration
In existing PV systems, the power electronics system is typically integrated into the inverter, with the DC-DC stage primarily used for MPPT control before inversion takes place.
There are three main types of PV inverters: microinverters, centralized inverters, and string inverters, and each differs significantly in terms of MPPT allocation, inverter stages, and configuration (Figure 5).
For microinverters, each PV module is paired with its own MPPT function and inverter stage. While per-module MPPT means hardware costs are relatively high, it brings fine-grained control that ensures that every single module will operate at its optimal point. As a result, microinverters can maximize power output, enhance system revenue, improve safety through module-level monitoring, and reduce maintenance costs.
Centralized inverters reverse this tradeoff, adopting a coarser approach that aggregates dozens (and in some cases hundreds, or even thousands) of PV modules per inverter stage and only one (sometimes no) MPPT channel for this. They have the lowest hardware CapEx outlay but offer very little control.
There is a middle ground, however, with string inverters still targeting multiple PV modules, but grouping smaller numbers into strings, with (typically) one MPPT channel per string.
Obviously, the overall decision relies on the necessary calculated balance between capital expenditure (CapEx) and long-term output. But each is more inherently suited to specific applications, with residential systems typically favoring microinverters and string inverters, whereas commercial and industrial systems mostly employ string inverters. As for utility-scale power stations, these typically select either string or centralized PV inverters depending on system design.
MPPT & PV economics
Precise and stable MPPT control ensures efficient and reliable operation of PV systems, and therefore, it is playing a vital role in the economics behind PV rollout and the shift from fossil fuels.
Achieving peak inverter efficiency relies on the seamless execution of a three-stage ecosystem that combines high-precision sensing, real-time MCU/DSP computation, and robust isolated driving circuitry.
While the choice between microinverters, string inverters, and centralized systems requires balancing upfront CapEx against granular control, optimizing these MPPT configurations is essential for long-term yield. As global electricity demands continue to surge, advances in these hardware and algorithmic pathways will remain critical to scaling renewable capacity efficiently and reliably.
Cover image: Adobe Stock
References
- “Solar surge halts fossil electricity growth worldwide in 2025,” Global Electricity Review 2026, published 21 April 2026. Available at: https://ember-energy.org/latest-updates/solar-surge-halts-fossil-electricity-growth-worldwide-in-2025
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