Futuristic industrial landscape with glowing energy pipelines and a subtle grid overlay representing renewable energy innovation.

Smarter Energy Recovery: How Fractional Order Controllers Are Changing the Game

"Unlock new levels of efficiency in renewable energy systems with fractional order proportional-integral (FOPI) controllers. Learn how this advanced technology is revolutionizing back-to-back power converters."


The relentless demand for electrical energy, coupled with growing environmental concerns, has spurred significant innovation in alternative and sustainable energy sources. Industries are increasingly exploring methods to recover energy from existing processes, turning potential waste into valuable resources.

One promising area lies in energy recovery from industrial pipelines, particularly those used in mining operations. These pipelines, which transport fluids over long distances and significant height differences, possess untapped energy potential. For example, studies of the Los Bronces - Las Tórtolas pipeline in Chile have revealed recoverable energy ranging from 22.03 kW to 34.35 kW.

This article delves into the application of fractional order controllers (FOCs) in energy recovery systems that use power converters. Moving beyond traditional PID controllers, we'll focus on the benefits of fractional order proportional-integral (FOPI) controllers in optimizing the performance of back-to-back (BTB) power converters. We'll explore how these advanced controllers can improve energy recovery from mining pipelines, offering a more efficient and adaptable solution compared to conventional methods.

AI Search Multiple angles on this topic

Energy Recovery and Complex Microgrids

A BTB power converter can connect a permanent magnet synchronous generator moved by a turbine in line with a mineral pipeline to the electrical network, injecting recovered energy through voltage control. Recent research describes renewable-energy microgrids as systems with memory-dependent, nonlinear, and multi-timescale dynamics that classical integer-order methods cannot adequately represent. Fractional calculus provides a framework for representing hereditary effects, anomalous diffusion, and long-range dependence across microgrid subsystems.

Beyond Conventional Modeling

Reviews report that fractional-order techniques have been evaluated for estimating, controlling, and improving the performance of energy systems. One 2026 survey specifically reviews fractional-order equivalent-circuit models with constant-phase elements for state-of-charge and state-of-health estimation in electrochemical storage and photovoltaic systems. These methods address storage and photovoltaic behaviors that are represented through fractional-order models rather than only conventional integer-order formulations.

Fractional Order Control: A New Era for Power Converters

Futuristic industrial landscape with glowing energy pipelines and a subtle grid overlay representing renewable energy innovation.

Fractional calculus and fractional control have emerged as dynamic fields of research, impacting various disciplines. Unlike traditional integer order controllers, fractional order controllers (FOCs) offer enhanced flexibility and precision in system control. This is particularly relevant for energy recovery systems, where fluctuating conditions and complex dynamics demand sophisticated control strategies.

The core of this advancement lies in the fractional order proportional-integral (FOPI) controller. To understand its significance, it's helpful to break down the key components:

  • Fractional Order Integration: Traditional integration is extended to non-integer orders, allowing for finer adjustments and responsiveness in control systems.
  • Flexibility and Tuning: FOPI controllers offer more tuning parameters than standard PI controllers, providing greater control over system behavior.
  • Adaptability: FOPI controllers can better handle non-linearities and uncertainties in the system, making them ideal for fluctuating energy sources.
AI Search Multiple angles on this topic

Fractional PI Control for Converters

A paper listed in MATEC Web of Conferences 210, article 2013, examines a fractional-order proportional-integral controller applied to back-to-back converters. The cited work focuses on using fractional-order control within converter systems. Its publication details identify the application as fractional-order proportional-integral control for back-to-back converters.

The diagram of the machine side controller (MSC) shows the traditional PI controllers replaced by FOPI controllers. The grid side controller (GSC) control strategy is based on the coordinate transformation abc-dq. FOPI controllers guarantee a rapid transient response and a high static performance. The results obtained were similar to those of more complex controllers.

The Future is Fractional: Embracing Advanced Control for Sustainable Energy

The adoption of fractional order control schemes represents a significant step forward in optimizing energy recovery from sources like industrial pipelines. By utilizing FOPI controllers in back-to-back power converters, we can achieve greater efficiency and stability compared to traditional methods.

AI Search Multiple angles on this topic

A Broad Power-Electronics Application

A 2021 review surveys fractional-order control in power electronics across stand-alone power converters, industrial drives, and electric vehicles. It also covers renewable energy systems and management in smart grids and microgrids. This scope places fractional-order control within a broad power-electronics research landscape rather than limiting it to a single converter type.

Modeling Renewable Complexity

Recent work presents renewable-energy microgrids as memory-dependent, nonlinear, and multi-timescale systems whose dynamics are not adequately represented by classical integer-order methods. Fractional calculus is described as a way to capture hereditary effects, anomalous diffusion, and long-range dependence across microgrid subsystems. A 2026 special issue likewise characterizes fractional-order control and design as tools for improving performance, robustness, and flexibility in complex renewable-energy dynamics.

Stability and Energy Storage

A 2026 study on stability enhancement considers energy storage systems for controlling frequency oscillations. It also proposes and compares varieties of integer-order, fractional-order, and advanced control approaches. The study therefore places fractional-order control within a broader stability strategy that includes both storage and multiple controller classes.

From Review to Implementation

A 2026 review combines an assessment of three-phase grid-connected renewable-power control methods with experimental validation. It evaluates control strategies from 2020 to 2025, including PI, proportional-resonant, fractional-order, and intelligent techniques, as well as tuning methodologies and implementation barriers. A separate 2026 study reports that fractional-order controllers are particularly suitable for modern power systems facing challenges from growing renewable-energy penetration.

The enhanced performance of FOPI controllers stems from their additional degrees of freedom, allowing for finer adjustments and better adaptation to fluctuating energy sources. This translates to improved energy recovery and a more reliable integration of renewable sources into the grid.

As the demand for sustainable energy solutions continues to grow, fractional order control is poised to play a crucial role in maximizing the potential of renewable energy systems. Further research and development in this area will undoubtedly pave the way for even more innovative and efficient energy recovery technologies.

Study at a glance
Study designSimulation or modelling study[1]
PopulationBTB power converter connected between a PMSG and the electrical network[1]
SettingEnergy recovery from a mineral pipeline, with energy injected into the electrical network[1]
ComparisonFractional order proportional-integral controllers compared with integer order proportional-integral controllers[1]
Times cited0[1]

What converter simulations can establish

Simulation or modelling study (level 7 of 8)

The study tested the controller in simulations under constant and variable torque, so it can compare modeled converter behavior across those operating scenarios but cannot by itself establish performance in a physical installation.[1] [2]

The modeled system links a PMSG driven by a turbine at a mineral pipeline to the electrical network; conclusions therefore concern this converter setup, not every energy-recovery system.[1]

FOPI control alongside PI and wider power-electronics work

The paper compares fractional-order proportional-integral control with the integer-order PI controllers traditionally used for this purpose, framing the work as a comparison within the same converter application.[1]

A separate wind–solar grid-interface study also compared FOPI with classic PI control, but in a hybrid generator connected to a distribution grid; it is a related application, not a direct replication of the pipeline-converter study.[3]

That separate study describes greater flexibility in modifying gain and phase margins with fractional-order controllers, a design consideration distinct from evidence of better outcomes in the pipeline system.[3]

What the controller comparison does and does not mean

Fractional-order control extends ordinary differentiation and integration to non-integer orders, providing the mathematical basis for the controller examined here.[4]

The work asks whether that approach can control a pipeline-linked generator through a BTB converter, rather than establishing that fractional control is universally superior to PI.[1]

Terms used in the converter study

Fractional-order controller
A controller based on extending ordinary differentiation and integration to arbitrary, non-integer order.[4]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.1051/matecconf/201821002013, Alternate LINK

Title: Fractional Order Proportional-Integral Controller Applied To A Back-To-Back Converters

Subject: General Medicine

Journal: MATEC Web of Conferences

Publisher: EDP Sciences

Authors: Manuel A. Duarte-Mermoud, Juan-Carlos Travieso-Torres, Tedy A. Crespo-Herrera

Published: 2018-01-01

Everything You Need To Know

1

What is the role of Fractional order proportional-integral (FOPI) controllers in energy recovery?

Fractional order proportional-integral (FOPI) controllers represent a significant advancement in energy recovery systems. They are designed to optimize the performance of back-to-back (BTB) power converters. The application of FOPI controllers allows for enhanced efficiency and stability when compared to traditional methods, making them a crucial component in sustainable energy solutions.

2

What are back-to-back (BTB) power converters, and why are they important?

Back-to-back (BTB) power converters play a vital role in energy recovery systems. Their function is to facilitate the efficient transfer of energy, especially in scenarios like industrial pipelines. By using fractional order proportional-integral (FOPI) controllers in BTB power converters, the system can better manage the complexities of fluctuating energy sources, ensuring a more stable and effective energy recovery process.

3

How do fractional order controllers (FOCs) differ from traditional controllers?

Fractional order controllers (FOCs) provide enhanced flexibility and precision compared to traditional integer order controllers. The core of this advantage lies within the fractional order proportional-integral (FOPI) controller. This advanced controller offers more tuning parameters, allowing for greater control over system behavior and the ability to handle non-linearities and uncertainties within the system. This translates to improved efficiency and adaptability in energy recovery processes, especially in complex systems.

4

What is the potential for energy recovery from industrial pipelines?

Industrial pipelines, like those used in mining operations, are a valuable source of untapped energy. These pipelines transport fluids over long distances and significant height differences, presenting an opportunity for energy recovery. Implementing fractional order proportional-integral (FOPI) controllers in these systems can capture otherwise wasted energy, turning it into a valuable resource. The Los Bronces - Las Tórtolas pipeline is an example where this technology can recover between 22.03 kW to 34.35 kW.

5

What are the key advantages of using FOPI controllers?

The main benefits of fractional order proportional-integral (FOPI) controllers are increased efficiency, stability, and adaptability in energy recovery systems. Compared to traditional PI controllers, FOPI controllers offer more tuning parameters, leading to finer adjustments and better system control. The FOPI controllers better handle non-linearities and uncertainties in fluctuating energy sources, making them a superior choice for systems like industrial pipelines. This technology offers a sustainable solution for clean energy applications, guaranteeing a rapid transient response and a high static performance.

Newsletter Subscribe

Subscribe to get the latest articles and insights directly in your inbox.