Microgrid Controller Patents: Who Leads, Where the Gaps Are 2026
- Filing has kept climbing since a 2017 peak of 6, with the midpoint year showing no filings at all before activity resumed — a market still finding its footing rather than settling.
- H02J dominates every record in this set, but digital transmission (H04L), control systems (G05B) and AI-based computing (G06N) are all present in smaller counts, marking where control logic is starting to move off the power-electronics substrate.
- The United States and India together account for the majority of receiving offices, while China shows only 2 — a filing gap worth checking before assuming freedom to operate there.
Filing growth compares 2021 (4 records) with 2024 (3) — 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. Top-5 share is the combined record count of the five largest assignees divided by all 38 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset tracks 38 patent families filed or published against microgrid controller, microgrid control and microgrid energy management terminology, cross-referenced against grid-interactive control, grid services, smart grid integration and demand response language, and confined to the H02J3/00, H02J13 and H02J3/38 IPC classes. It captures the period from 2015 through the middle of 2026, with the caveat that the most recent filing year is always undercounted because publication typically lags filing by around 18 months.
Records concentrate in power supply and grid-system classifications, with smaller but consistent overlap into digital transmission, control theory, business-process data handling and AI-based computing — a signature of controllers that increasingly do more than switch relays.
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Filing trends and technology composition
Two views of the same 38-family dataset: how filing activity has moved year over year, and how those filings distribute across IPC subclasses.
Filing trend, 2017–2026
Filings peaked early at 6 in 2017, dropped to zero by the 2022 midpoint, and have since resumed — a pattern more consistent with a technology re-entering active development than one in steady decline. Because 2026 is only partially reported, its count of 3 understates the year's real filing volume.
IPC subclass composition
H02J covers every record in the set, confirming the search is anchored correctly on power-supply and grid-system art. The next largest subclasses — H04L, G05B and G06Q — sit far behind at single digits, and G06N's presence at only 3 records shows AI-based control logic is still a minority approach rather than the default.
Shares are the percentage of the 38 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Microgrid Controller Smart Grid with Eureka
This page is one run against one query. Ask Eureka your own question about microgrid controller smart grid and every answer comes back with the patent numbers behind it.
Try EurekaMost-cited records in this space
Systems and methods for regulating a microgrid (US10423185B2)
A microgrid system includes one or more power generators configured to provide electrical energy. The microgrid system also includes a localized distribution network coupled to the one or more power generators, coupled to the one or more loads, and coupled to an external grid. The microgrid system further includes a microgrid controller configured to predict microgrid demand for the one or more loads for a predetermined period of time. The microgrid controller is also configured to receive demand information for the external grid for the predetermined period of time. The microgrid controller is further configured to determine an operation plan for the one or more power generators based on thAbstract as filed; truncated where the source record is truncated.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20160156190A1 | Hierarchical Control of Micro-grids | 23 |
| 2 | US20200195011A1 | Battery energy storage system and microgrid controller | 18 |
| 3 | US20200099252A1 | Secure distributed state estimation for networked microgrids | 15 |
| 4 | US20190116245A1 | Reconfigurable extended communication interface devices for monitoring and control of power system devices | 14 |
| 5 | US9444257B2 | Hierarchical control of micro-grids | 12 |
| 6 | WO2017196834A1 | Systems and methods for regulating a microgrid | 4 |
| 7 | CN110445173A | 一种基于多代理的分层多微网能量管理系统及调度方法 | 3 |
| 8 | US20230307922A1 | Method and system for microgrid control | 2 |
| 9 | US20210351590A1 | Battery energy storage system and microgrid controller | 2 |
| 10 | US11128137B2 | Battery energy storage system and microgrid controller | 2 |
Citation counts reflect influence within the searched corpus, not current commercial relevance — older filings accumulate citations simply by being available longer.
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. Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for filing strategy
Three signals stand out once the raw counts are read against each other: where claim density sits, how citation age skews influence, and how thin the collaboration layer still is.
Activity resumed after a flat 2022
The zero-filing midpoint at 2022 followed by renewed activity suggests a technology that stalled and restarted rather than one in continuous decline. Treat 2026's count of 3 as a floor, not a ceiling, given publication lag.
Every record sits on power-supply art
All 38 families classify under H02J, with smaller overlaps into H04L, G05B, G06Q, G05F, G06N, G01R and G06F. That overlap pattern — not the H02J count itself — is where differentiated claim positions are most likely to survive prior art.
Influence favours the oldest filings
The most-cited record and its closely related sibling both date to the earlier part of the window, which is typical: citation counts inside a searched corpus accumulate with age and do not indicate current commercial weight.
Co-filing is rare, not the norm
Only two co-assignee pairs appear in the dataset, both involving the same corporate assignee paired with individual named inventors. Most activity here is filed solo, which narrows the field for anyone scouting for joint-development partners.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to microgrid controller smart grid, with the prior art for and against each one.
Who is filing, and where the field is still open
Recent-year momentum across the named assignees reads as flat: every tracked entity shows zero filings in the latest year, consistent with the publication lag rather than a sudden stop in activity. That makes the assignee ranking itself — not the momentum column — the more reliable read on who has staked claims.
Momentum is flat for everyone, not just laggards
Because every named assignee shows zero filings in the most recent year, the flat momentum column reflects publication lag across the board rather than any one company slowing down. Read the cumulative ranking, not this year's count, when judging who is active.
Solo filing is the norm
With only two co-assignee pairs found — both tied to one corporate filer paired with individual inventors — joint ventures and cross-licensing are not yet a visible pattern in this space.
Filing is US- and India-heavy
The United States and India account for the largest shares of receiving offices, with Europe, Canada, WIPO and China trailing well behind. A China count of just 2 is worth a specific freedom-to-operate check before relying on an absence of prior art there.
| Assignee | Recent year | YoY |
|---|---|---|
| ABB (Switzerland) Ltd. | 0 | — |
| General Electric Company | 0 | — |
| OPEN ACCESS TECH INT | 0 | — |
| Telos Corporation | 0 | — |
| The Regents of the University of California | 0 | — |
| OSISOFT, LLC | 0 | — |
| NAT INST OF TECH PATNA | 0 | -100% |
| GITAM DEEMED TO BE UNIV | 0 | -100% |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is filing, freedom-to-operate, or partner scouting.
Check freedom to operate before filing in China
With only 2 records at the China receiving office against 16 in the US, the low count could mean genuine white space or simply thinner search coverage. Either way, a targeted FTO search is warranted before committing claims there.
Run a freedom-to-operate check in EurekaWatch the AI-overlap subclasses
G06N appears in only 3 of 38 records, meaning AI-driven microgrid control is still a minority claim strategy. That gap narrows every year publication lag closes, so early movers there have a shrinking head start.
Track G06N filings in EurekaReassess citation leaders against recent filings
The most-cited records date to the earlier half of the window and lead on citation count mostly because of age. Cross-check them against the 2024–2026 filings before assuming they still define the state of the art.
Compare citation leaders in EurekaCommon questions about microgrid controller patents
This dataset identifies 38 patent families filed between 2015 and mid-2026 that combine microgrid controller or microgrid energy management terminology with grid-interactive control and demand response language, classified under H02J3/00, H02J13 and H02J3/38. Filing peaked at 6 in 2017, dropped to zero by 2022, and has since resumed, with 3 filings recorded in the partial 2026 year. Because publication lags filing by roughly 18 months, the true 2025 and 2026 totals are almost certainly higher than currently reported, so treat the most recent two years as a floor rather than a complete count.
The assignee ranking in this dataset includes corporate filers such as ABB, General Electric, Open Access Technology International, Caterpillar and a university research body, alongside a long tail of smaller and single-filing entrants. All of the named assignees show zero filings in the latest tracked year, which reflects publication lag across the whole field rather than a slowdown specific to any one company. The cumulative family count, not the single-year momentum figure, is the more reliable signal of who has staked the most claim territory.
Every one of the 38 records classifies under H02J, the core power-supply and grid-system IPC subclass, confirming this is squarely power-electronics and grid-management art. Secondary overlaps appear in H04L (digital information transmission, 6 records), G05B (control and regulating systems, 5 records) and G06Q (business-process data handling, 5 records), with smaller counts in G05F, G06N, G01R and G06F. The presence of G06N at only 3 records shows that AI-based control logic is still an emerging rather than dominant approach within microgrid controllers.
The smaller IPC subclasses in this dataset — G06N (AI-based computing), G01R (electric and magnetic measurement) and G06F (digital data processing) — each appear in only two to three records, suggesting these adjacent branches are under-claimed relative to core power-supply art. Specific candidates include AI-driven demand forecasting layered onto microgrid controllers, secure distributed state estimation for networked microgrids, and reconfigurable communication interfaces for monitoring grid devices. A first claim in these areas would likely need to tie the AI or measurement function explicitly to a grid-interactive control action to distinguish itself from the dense H02J prior art.
US10423185B2, assigned to General Electric Company and published in September 2019, covers a microgrid system with a controller that predicts microgrid demand, receives external grid demand information, and determines an operation plan for the microgrid's power generators based on both. That combination — forward-looking demand prediction plus an operation plan responsive to external grid conditions — is the specific mechanism a designer would need to route around, for example by using a different data source for demand prediction or a materially different method for generating the operation plan. Anyone building a predictive, grid-responsive microgrid controller should review this claim scope directly rather than relying on the abstract alone.
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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.