Microgrid Controller Simulation Patents: Who Leads, Gaps 2026
- Only 13 published families sit inside this search since 2015, with filing still rising rather than plateauing — the midpoint year shows zero and the peak came later, in 2018.
- H02J dominates every filing while digital-twin and real-time simulation claims mostly ride inside power-supply and grid-system art rather than standing on their own in G06F or G05B.
- The US receives more than half of all filings with China, Europe, India and a single PCT filing making up the rest — this is not yet a globally distributed filing pattern.
Filing growth compares 2021 (3 records) with 2024 (0) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field.
A narrow, US-centred field still finding its shape
Microgrid controller simulation and modeling sits at the intersection of grid control hardware and the software used to validate it before deployment — real-time digital twins, power-flow simulation and stability analysis run against a microgrid energy management system. The dataset behind this page captures only 13 published patent families since 2015, which makes this one of the smaller landscapes in smart grid IP: a technology area where claim space is not yet crowded, but also one where any single filer can move the balance noticeably.
Filing activity peaked in 2018 and, after a quiet middle period, is accelerating again toward the most recent year — though that final year is necessarily undercounted, since publication typically lags filing by around 18 months. Most of what has been filed sits under power supply and grid-system classifications rather than under dedicated software or control-systems codes, suggesting that simulation and digital-twin claims are still being drafted as extensions of hardware-control patents rather than as freestanding modeling inventions.
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
Filing trend and technology composition
Two views of the same 13-family dataset: how filing has moved year over year, and which classification codes carry the claims.
Filing trend: slow start, renewed acceleration
Filings ran to zero in 2017, rose to a peak of 4 in 2018, fell back to zero by the 2022 midpoint, and are climbing again toward the most recent year. That U-shape is more consistent with a niche technology attracting a second wave of filers than with a maturing, saturating one.
IPC composition: grid-system codes dominate
H02J covers every one of the 13 families, with G06F, G01R and H02H trailing well behind and G05B and G06Q appearing only once each. Simulation and digital-twin functionality is being claimed as a feature of grid-control hardware, not carved out as a separate modeling invention.
Shares are the percentage of the 13 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Microgrid Controller Simulation and Modeling with Eureka
This page is one run against one query. Ask Eureka your own question about microgrid controller simulation and modeling and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records anchor the field
US12483063B2 — Secure distributed state estimation for networked microgrids
Systems, methods, techniques and apparatuses of networked microgrids are disclosed. One exemplary embodiment is a method for removing false data from a networked microgrid system including: calculating a first local state estimation with the microgrid control system; calculating a plurality of global state estimations with the microgrid control system and the plurality of microgrids; determining the plurality of global state estimations did not converge; detecting false data in a first global state estimation of the plurality of global state estimations calculated with the microgrid control system using the microgrid control system and the plurality of microgrids; and removing the first globFiled by ABB Schweiz AG, published 2025-11-25 — one of the most recent grants in this dataset and a direct descendant of the earlier, more heavily cited state-estimation family from the same assignee.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20200195011A1 | Battery energy storage system and microgrid controller | 18 |
| 2 | US20200099252A1 | Secure distributed state estimation for networked microgrids | 15 |
| 3 | CN105429130A | 基于RTDS和dSPACE的微电网仿真实验系统及方法 | 7 |
| 4 | US20210351590A1 | Battery energy storage system and microgrid controller | 2 |
| 5 | US11128137B2 | Battery energy storage system and microgrid controller | 2 |
Citation counts reward older filings inside any searched corpus — treat them as a signal of influence on later filers, not as a ranking of current technical relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (5 of 5 rows); clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the citation and filing pattern signals
Three findings that shape how a filer or licensor should read this landscape.
Two ABB filings anchor the citation graph
US20200195011A1 and US20200099252A1 carry 18 and 15 citations respectively — far ahead of the next tier, which sits at 7 or below. Both are early ABB filings on battery-integrated microgrid controllers and distributed state estimation, and later ABB filings, including the 2025 grant US12483063B2, build directly on that state-estimation lineage.
Filing is US-weighted with a thin international tail
Seven of the thirteen families were filed in the United States, with China and Europe each receiving two, and India and WIPO one apiece. A filer targeting only the US risks missing the CN filings that include the earliest RTDS/dSPACE simulation work in this set.
Collaboration is thin and centred on one company
All three identified co-assignee pairs in this dataset involve ABB (瑞士)公司 alongside two named individual inventors, Ishchenko Dmitry and Cintuglu Mehmet H. There is no visible cross-company joint filing — collaboration here reads as internal inventor teams, not industry partnerships.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to microgrid controller simulation and modeling, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| ABB Schweiz AG (ABB Switzerland Ltd.) | ISHCHENKO DMITRY | 1 |
| ABB Schweiz AG (ABB Switzerland Ltd.) | CINTUGLU MEHMET H | 1 |
| ISHCHENKO DMITRY | CINTUGLU MEHMET H | 1 |
The only repeated co-filing links trace back to a single assignee and two inventors, not to partnerships between separate organisations.
A field led by one incumbent, with a long single-filing tail
ABB's two corporate entities carry the citation weight and the most recent grant, but recent-year momentum has shifted to a first-time academic filer rather than to any of the established names.
ABB (瑞士)公司 / ABB Schweiz AG
Holds the two most-cited records in the dataset and the newest grant, US12483063B2, on secure distributed state estimation. Its filings form the backbone of the citation graph that later entrants build against.
Vellore Institute of Technology
The only assignee with any activity in the most recent filing year, ahead of every incumbent named in this dataset. A single filing is not yet a strategy, but it is the most current signal available.
University and public-research assignees
The Regents of the University of California and China Agricultural University both appear among the named assignees with no filings in the latest year, indicating earlier-stage academic contributions rather than sustained programmes.
| Assignee | Recent year | YoY |
|---|---|---|
| VELLORE INSITUTE OF TECH | 1 | — |
| ABB Schweiz AG (ABB Switzerland Ltd.) | 0 | — |
| The Regents of the University of California | 0 | — |
| China Agricultural University | 0 | — |
| CHARGE BLISS CONSTRUCTION CA INC | 0 | — |
| ABB Power Grids Switzerland AG | 0 | — |
| OPERATION TECHNOLOGY INC | 0 | — |
| ISHCHENKO DMITRY | 0 | — |
Where to take this analysis
This landscape is small enough that a single new filing can change its shape — the next step is usually a closer read of specific claims rather than more aggregation.
Map claim scope against ABB's state-estimation family
US12483063B2 and its cited predecessors form the densest claim territory in this dataset. Understanding exactly what they cover is the first step before drafting anything adjacent.
Explore claims in EurekaTrack the Vellore filing for follow-ons
A first-time academic filer leading the most recent year's activity is worth watching for a continuation or a second filing that signals a sustained programme.
Set up monitoring in EurekaTest the under-claimed branches
Hardware-in-the-loop co-simulation and false-data-injection detection both sit at low filing density inside a small dataset — a first, well-drafted claim there faces less prior art than in the core H02J space.
Run a white space search in EurekaCommon questions about this landscape
This landscape search returns 13 published patent families filed between 2015 and the 2026 data cut-off. That makes it a small, still-forming field compared with broader smart-grid categories. Because publication lags filing by roughly 18 months, the true count for the most recent year is understated and will grow as pending applications publish.
ABB, filing under both ABB (瑞士)公司 and ABB Power Grids Switzerland AG, holds the two most-cited records in the dataset as well as the newest grant, US12483063B2. Academic assignees including The Regents of the University of California and China Agricultural University also appear but show no activity in the latest filing year. The most recent filing activity actually comes from Vellore Institute of Technology, a name with no prior citation history in this set.
US12483063B2, assigned to ABB Schweiz AG and published 2025-11-25, claims a method for detecting and removing false data from a networked microgrid system by comparing local and global state estimations and identifying non-convergence. It sits downstream of ABB's earlier, more heavily cited state-estimation filing, US20200099252A1. Anyone building distributed state-estimation or cyber-security features into a microgrid controller should read its independent claims closely before finalising an architecture.
Digital-twin fault-ride-through validation, hardware-in-the-loop co-simulation using platforms like RTDS and dSPACE, and the business-model layer around microgrid dispatch all show thin filing density relative to the core H02J grid-control claims. G05B and G06Q each appear only once across the whole 13-family set, which suggests control-systems and commerce-layer framing of microgrid simulation is largely unclaimed. A first, carefully drafted claim in these branches would face comparatively little direct prior art inside this dataset.
The trend is a U-shape: filings peaked at 4 in 2018, dropped to zero by the 2022 midpoint, and are climbing again toward the most recent year. That pattern reads as a second wave of interest rather than a maturing or saturating field. Given the 18-month publication lag, the current uptick is likely stronger than the raw counts show.
Research Microgrid Controller Simulation and Modeling in depth with Eureka
Go past this page: query the whole microgrid controller simulation and modeling corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.