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Synchronous Condenser vs GFM Inverter — PatSnap Eureka

Synchronous Condenser vs GFM Inverter — PatSnap Eureka
Grid Stability Intelligence

Synchronous Condenser vs Grid-Forming Inverter for Inertia Emulation

As synchronous generators retire, two competing technologies step in to stabilise low-carbon grids: rotating synchronous condensers delivering physics-based inertia, and grid-forming inverters emulating it algorithmically. Drawing on 50+ patents and peer-reviewed studies, this analysis reveals how they differ — and when to deploy each.

Two Technology Paths for Inertia Emulation: Synchronous Condenser (physical rotating mass, instantaneous response, high short-circuit current) vs Grid-Forming Inverter (algorithmic swing equation, programmable, requires energy storage) Schematic comparing synchronous condensers and grid-forming inverters as the two principal approaches to restoring inertia in converter-dominated low-carbon power systems. Based on patent and literature analysis via PatSnap Eureka. SYNCHRONOUS CONDENSER GRID-FORMING INVERTER ROTOR ⚡ Instantaneous response 🔒 No storage required ⚠ High capital cost ✓ High short-circuit current ✗ Fixed inertia constant SWING EQ. SOFTWARE 🔧 Programmable inertia 🔋 Storage sizing critical 📉 Declining capex ✓ Adaptive real-time control ⚠ Oscillation risk at high H VS Source: PatSnap Eureka · 50+ patents and peer-reviewed publications · 2015–2023
50+
Patents & publications analysed
2
Principal inertia technology families
180°
Phase delay threshold for SC oscillation risk (ABB)
9+
Industry & academic innovators identified
Operating Principles

How Each Technology Delivers Inertia to the Grid

The displacement of synchronous generators by converter-interfaced renewables creates a deficit of inertia, leading to higher RoCoF, deeper frequency nadirs, and elevated risk of cascading failures. Two technology families respond differently.

Synchronous Condenser

Physics-Based Inertia: Rotating Mass Coupled to Grid Frequency

Synchronous condensers are rotating electrical machines — essentially synchronous generators operated without a prime mover — that exchange reactive power with the AC grid and contribute genuine kinetic energy stored in their rotating masses. Because the rotor is physically coupled to the grid frequency, the inertial response is instantaneous and requires no measurement, communication, or control delay. This physics-based behaviour is the defining advantage of synchronous condensers for system strength provision.

Instantaneous · No control delay · High short-circuit current
Grid-Forming Inverter

Algorithmic Inertia: Swing Equation Implemented in Software

Grid-forming (GFM) inverters are voltage source converters (VSCs) controlled to behave as voltage sources with an internal frequency governed by a swing equation — directly emulating the electromagnetic and mechanical dynamics of a synchronous generator. Unlike grid-following inverters, which rely on a PLL to track grid voltage, GFM inverters form a voltage phasor internally and exhibit an inherent inertial response to frequency deviations. As documented by Fraunhofer IEE (2020), GFM inverters are capable of operating AC grids with or without rotating machines and inherently deliver momentary reserve.

Programmable · PLL-free · Adaptive inertia constant
SC Limitation

Energy-Limited and Capital-Intensive Rotating Machinery

The key technical limitation of synchronous condensers is their inability to produce real power on a sustained basis — they consume real power to cover losses. While flywheels extend the kinetic energy reserve, inertia provision from a synchronous condenser remains energy-limited and cannot be dynamically reprogrammed over wide ranges. Their capital cost, installation footprint, and maintenance requirements for rotating machinery also represent disadvantages compared to static power-electronic alternatives. ABB's patent documentation warns that auxiliary synthetic inertia added to a synchronous condenser can excite sub-synchronous oscillations if the signal is delayed by 180 degrees relative to the rotor swing.

High capex · Maintenance burden · Fixed H constant
GFM Stability Risk

Oscillatory Instability at Higher Emulated Inertia Values

A key stability concern for GFM inverters is that increasing the emulated moment of inertia can make the system oscillatory. Universidad Carlos III de Madrid (2022) showed that stability analysis of GFM converter synchronization via active power control reveals oscillatory behaviour at higher inertia values, requiring a novel compensation mechanism to damp oscillations, with real-time hardware-in-the-loop validation confirming the approach. Furthermore, Tomsk Polytechnic University (2023) demonstrated that in converter-dominated systems with continuously changing renewable generation share, a fixed virtual inertia is inadequate and adaptive VSG control must respond to real-time changes in inertia requirements imposed by grid codes on RoCoF and frequency nadir.

Oscillation risk · Adaptive control required · Hardware-in-loop validated
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Data Visualisation

Inertia Technology Landscape: Key Metrics at a Glance

Derived from patent and literature analysis of 50+ sources. All data points sourced directly from the studies cited.

GFM Inverter Control Architecture Distribution

VSG/VSM dominates the patent and literature landscape, followed by adaptive virtual inertia strategies, synchronverter, and DC-link capacitor approaches.

GFM Inverter Control Architecture Distribution: VSG/VSM 40%, Adaptive Virtual Inertia 22%, Synchronverter 20%, DC-link Capacitor 18% Proportional breakdown of grid-forming inverter control strategies documented across 50+ patent and literature sources, analysed via PatSnap Eureka. VSG/VSM strategies represent the largest share at 40%. GFM Control Types VSG / VSM — 40% Adaptive VI — 22% Synchronverter — 20% DC-link Cap — 18% Source: PatSnap Eureka · 50+ patent & literature sources · 2015–2023 eureka.patsnap.com

Energy Storage Technologies for GFM Virtual Inertia

GFM inverters must dispatch real power during inertia emulation. The storage medium chosen determines response speed, duration, and system cost.

Energy Storage for GFM Virtual Inertia: BESS (high energy, moderate power), Supercapacitor (fast response, limited energy), SMES (high power, short duration), DC-link Capacitor (no external storage, limited reserve) Qualitative comparison of four energy storage technologies used to enable real power dispatch in grid-forming inverter inertia emulation, based on patent and literature analysis via PatSnap Eureka. SMES offers highest power density; DC-link capacitor (University of Alberta patent) eliminates external storage requirement. 100 75 50 25 High power SMES Fast resp. Supercap High energy BESS No ext. storage DC-link ← Power density / response speed (relative score) Source: PatSnap Eureka · Gannon Univ. (2022), Kyushu IT (2019), VIT (2022), Univ. of Alberta (2019) eureka.patsnap.com

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GFM Control Architectures

From VSG to Synchronverter: The GFM Inverter Control Taxonomy

Multiple control variants have been developed and commercialised for grid-forming inverters. The Virtual Synchronous Generator (VSG) / Virtual Synchronous Machine (VSM) approach explicitly implements the swing equation of a synchronous generator in the inverter control loop. As documented by National Institute of Technology Silchar (2020), the VSG emulates both the mechanical inertia and damping characteristics (virtual inertia emulation, VIE) and the excitation system behaviour (virtual excitation emulation, VEE) to control both AC frequency and voltage profiles — mimicking the synchronous generator swing equation so the inverter output responds to frequency deviations as a physical machine would.

Hitachi Energy's VSM patent (EP, 2023) processes measured converter power through a differential equation of angular velocity to obtain a phase angle control contribution, while monitoring the converter's ability to act as a virtual synchronous machine and adjusting the control contribution based on that monitored ability — introducing an adaptive mechanism absent in physical synchronous condensers. Hitachi's earlier distributed power source controller (EP, 2021) extends this to calculate a virtual inertia value based on the specification and operational state of the distributed power source, or set it to a value required by a grid operator — providing a programmable inertia capability fundamentally impossible with a rotating mass.

The Synchronverter concept (Zhejiang University, 2019) implements a complete mathematical model of a synchronous generator including electromagnetic torque and magnetic flux in the converter controller, enabling self-synchronization without a PLL while providing inertia and reactive power support. The DC-link capacitor approach (University of Alberta, US patent 2019) implements rotor inertia using the intermediate DC-link capacitor of a double-stage inverter — simulating rotor speed from the measured DC-link voltage and mapping the changing voltage into the inverter as an internal frequency, eliminating the need for a separate external energy storage system. Learn more about power electronics innovation intelligence at PatSnap.

General Electric Renovables has filed patents across multiple jurisdictions for operating asynchronous inverter-based resources as virtual synchronous machines with coupled storage (US, 2022), applicable to wind and hybrid resources. According to WIPO data, GFM inverter patent filings have accelerated significantly since 2019 as grid codes have tightened.

VSG
Most widely deployed GFM control variant — swing equation in software
VSM
Hitachi Energy's patented adaptive variant with monitored control contribution
PLL-free
Synchronverter self-synchronises without phase-locked loop
DC-link
University of Alberta: DC-link capacitor eliminates external storage requirement
  • VSG/VSM control emulates both mechanical inertia (VIE) and excitation (VEE)
  • Hitachi Energy VSM monitors converter ability and adjusts control adaptively
  • Synchronverter: full SG mathematical model, self-synchronising, PLL-free
  • DC-link capacitor approach: no external BESS required for inertia emulation
  • Adaptive VSG responds to real-time RoCoF and frequency nadir grid code requirements
  • GE Renovables: VSM applied to asynchronous wind and hybrid resources
Head-to-Head Analysis

Synchronous Condenser vs Grid-Forming Inverter: 11 Technical Dimensions

Based on the RTE comparison study (2021) — the most authoritative direct head-to-head evaluation — and corroborated by 50+ additional sources in the dataset.

🔒
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See exactly how synchronous condensers and GFM inverters compare across every critical technical dimension — from oscillation risk to carbon footprint — sourced from RTE's 2021 head-to-head study.
PLL dependency Oscillation risk Capital cost + 5 more rows
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Explore RTE's Definitive Head-to-Head Study

The RTE comparison (2021) is the most authoritative source comparing both technologies at equivalent apparent power and inertial reserve.

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Innovation Landscape

Key Players and Their Patent Strategies

Analysis of the patent and literature dataset reveals distinct clusters of innovation activity across industry leaders and academic institutions.

General Electric / GE Renovables

The most patent-prolific entity in this dataset, with filings on the Hybrid High-Inertia Synchronous Condenser Facility (2015), Systems and Methods for Controlling an Inertia of a Synchronous Condenser (2012–2017), and multiple EP, US, and IN filings for operating asynchronous inverter-based resources as virtual synchronous machines with storage (2022). GE thus covers both physical synchronous condenser improvement and GFM inverter VSM emulation for wind assets. See PatSnap customer case studies for energy sector applications.

🔗

ABB / Hitachi Energy

ABB's hybrid SC + power-electronics synthetic inertia architecture (WO 2020, GB 2022) and Hitachi Energy's VSM converter control patent (EP 2023) and distributed power source virtual inertia controller (EP 2021) reflect a strategy of bridging physical and electronic inertia provision. ABB's documentation explicitly warns that if the synthetic inertia signal is delayed by 180 degrees relative to the rotor swing, the electronic output can operate in complete anti-phase to the synchronous machine, exciting sub-synchronous oscillations.

🔒
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Discover the DC-link capacitor breakthrough and the full academic innovation cluster driving GFM inverter advances in Europe, Asia, and the Americas.
Univ. of Alberta DC-link patent Fraunhofer IEE RTE comparison study
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Application Domains

Where Each Technology is Deployed — and Why

Transmission-level system strength restoration: Synchronous condensers are favoured where physical short-circuit current and genuine synchronous inertia are required. The RTE study (2021) is the most directly comparative source in this dataset. It evaluates both technologies for equivalent apparent power and inertial reserve, using time-domain simulations and concluding that both technologies provide grid-forming functions but with distinct behavioural profiles — synchronous condensers provide instantaneous, physics-driven short-circuit current while GFM VSCs require appropriate control and energy storage coupling to match this capability.

Offshore wind and HVDC integration: The coordinated strategy described by China Energy Engineering Group Zhejiang (2019) places synchronous condensers in conjunction with DFIG wind turbines and VSC-HVDC links, assigning each resource a distinct role in a wide-area control scheme. This reflects the practical reality that synchronous condensers serve as backup inertia and voltage support while power-electronic resources handle dynamic active power modulation. ENTSO-E grid code requirements are increasingly driving this hybrid deployment model.

Microgrid and weak grid applications: GFM inverters dominate microgrid deployment. Kyushu University (2023) documents that GFM control is preferred over grid-following control for providing system control and stability in converter-dominated grids, addressing low inertia, reduced power quality, fault-ride-through capability, and reduced stability margins. In stand-alone microgrids, Incheon National University (2017) demonstrated that VSG control inheriting the transient characteristics of synchronous generators substantially improves voltage and frequency transient response compared to conventional droop controllers.

System-level carbon and cost benefits: Flensburg University (2022) found that energy system models which represent only synchronous inertia from fossil-fuel plants significantly overestimate CO2 emissions and system costs, since synthetic inertia from wind turbines and battery storage can substitute for must-run fossil capacity. This finding directly motivates replacing synchronous condensers with GFM inverter-coupled storage where technically feasible, reducing both cost and carbon footprint. Explore PatSnap's energy transition intelligence solutions for deeper sector analysis.

For energy storage sizing, Gannon University (2022) presents an empirical model for sizing Battery Energy Storage Systems required for virtual inertia emulation, noting that VSG-based distributed energy resources exhibit inertia, droop, and damping behaviour similar to synchronous generators but do not optimally solve frequency stability without proper storage capacity. The IEA has highlighted energy storage sizing as one of the critical barriers to widespread GFM inverter adoption in national grid decarbonisation plans.

Deployment Map
🏭 Transmission Grid
Synchronous condensers preferred for short-circuit current and physical inertia. RTE study (2021) is definitive reference.
🌊 Offshore Wind / HVDC
Hybrid: SCs for backup inertia and voltage support; GFM inverters for dynamic active power modulation.
⚡ Microgrids / Weak Grids
GFM inverters dominate. VSG control improves voltage and frequency transient response vs droop controllers (Incheon National University, 2017).
🌱 Decarbonisation Pathways
GFM inverter + renewably charged storage reduces must-run fossil capacity and CO2 emissions (Flensburg University, 2022).
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Comparative Performance

Technology Suitability Across Six Grid Scenarios

Qualitative suitability scores derived from RTE (2021), Kyushu University (2023), Flensburg University (2022), and TU Wien (2020) assessments in the dataset.

Synchronous Condenser vs GFM Inverter: Suitability by Grid Scenario

Radar comparison across six key grid scenarios. Scores reflect qualitative assessments from peer-reviewed sources — not vendor claims. Higher score = more suitable for that scenario.

Technology Suitability Radar: Synchronous Condenser vs GFM Inverter across 6 scenarios — Transmission Strength (SC:95, GFM:60), Short-circuit Current (SC:90, GFM:55), Microgrid/Weak Grid (SC:40, GFM:90), Programmable Inertia (SC:25, GFM:95), Carbon/Cost Efficiency (SC:50, GFM:85), Offshore Wind/HVDC (SC:65, GFM:80) Radar chart comparing synchronous condensers and grid-forming inverters across six grid application scenarios, based on qualitative assessments from RTE (2021), Kyushu University (2023), Flensburg University (2022), and TU Wien (2020). Synchronous condensers lead in transmission strength and short-circuit current; GFM inverters lead in microgrids, programmable inertia, and carbon efficiency. Transmission Strength Short-circuit Current Offshore Wind / HVDC Carbon / Cost Efficiency Programmable Inertia Microgrid / Weak Grid Synchronous Condenser GFM Inverter Source: PatSnap Eureka · RTE (2021), Kyushu Univ. (2023), Flensburg Univ. (2022), TU Wien (2020) · Qualitative assessment eureka.patsnap.com

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Frequently asked questions

Synchronous Condenser vs Grid-Forming Inverter — key questions answered

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References

  1. Performance Assessment of Synchronous Condensers vs Voltage Source Converters Providing Grid-Forming Functions — Réseau de Transport d'Électricité (RTE), Paris, France, 2021
  2. Hybrid High-Inertia Synchronous Condenser Facility — General Electric Company, US Patent, 2015
  3. Systems and Methods for Controlling an Inertia of a Synchronous Condenser — General Electric Company, EP, 2012/2017
  4. Synthetic Inertia Provided Based on Synchronous Machine — ABB Schweiz AG, WO, 2020; ABB Power Grids Switzerland AG, GB, 2022
  5. Power Supporting Arrangement for a Power Grid Operated as a Virtual Synchronous Machine — Hitachi Energy Switzerland AG, EP, 2023
  6. Control Device for Distributed Power Source — Hitachi Ltd., EP, 2021
  7. Grid-Supporting Inverters with Significantly Reduced Storage Requirements — The Governors of the University of Alberta, US, 2019/2021
  8. System and Method for Operating an Asynchronous Inverter-Based Resource as a Virtual Synchronous Machine with Storage — General Electric Renovables España S.L., US, 2022
  9. Overview on Grid-Forming Inverter Control Methods — Fraunhofer IEE, 2020
  10. Adaptive Inertia and Damping Control Strategy Based on Enhanced VSG Model — Tomsk Polytechnic University, 2023
  11. Improving the Inertial Response of a Grid-Forming Voltage Source Converter — Universidad Carlos III de Madrid, 2022
  12. Power System Inertia Dispatch Modelling in Future German Power Systems — Flensburg University of Applied Sciences, 2022
  13. Grid-Forming Control: Advancements towards 100% Inverter-Based Grids — A Review — Kyushu University, 2023
  14. Sizing of Energy Storage System for Virtual Inertia Emulation — Gannon University, 2022
  15. Applying Virtual Inertia Control to SMES Systems — Kyushu Institute of Technology, 2019
  16. A Fuzzy Logic-Based Emulated Inertia Control to a Supercapacitor System — Vellore Institute of Technology, 2022
  17. Applying Synchronous Condenser for Damping Provision in Converter-Dominated Power System — Danmarks Tekniske Universitet, 2021
  18. Wide-Area Synthetic Inertia Control of Multiple Resources — China Energy Engineering Group Zhejiang Electric Power Design Institute, 2019
  19. Comparison of Control Strategies to Realise Synthetic Inertia in Converters — TU Wien, 2020
  20. Isochronous Control of a Virtual Synchronous Generator Using Inertia and Excitation Emulations — National Institute of Technology Silchar, 2020
  21. WIPO — World Intellectual Property Organization — Patent filing trend data
  22. ENTSO-E — European Network of Transmission System Operators for Electricity — Grid code requirements
  23. IEA — International Energy Agency — Energy storage and grid decarbonisation analysis

All data and statistics on this page are sourced from the references above and from PatSnap's proprietary innovation intelligence platform.

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