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Virtual Power Plant Microgrid Patents: Leaders & White Space 2026

Virtual Power Plant Microgrid Patents: Leaders & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/virtual-power-plant-microgrid-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Smart Grid & Energy Systems · Patent Landscape
Virtual power plant and microgrid control patents: who holds the ground and where filing has stalled
  • Filing peaked in 2023 at 9 families and has not returned to that level, suggesting the field is consolidating around known architectures rather than expanding into new ones.
  • One 2018 grant (US9960637B2) carries 201 citations, an order of magnitude above every other record in the set — it anchors most cloud-based distributed energy management claims filed since.
  • G06Q business-logic claims appear in 18 of 33 families alongside H02J grid hardware, meaning dispatch and settlement logic is being claimed as tightly as the electrical control itself.
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33
Published Records
+75%
Filing Growth 2021→2024
US
Leading Jurisdiction
10
Active Filers Ranked

Filing growth compares 2021 (4 records) with 2024 (7) — 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.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This review tracks patent families at the intersection of virtual power plant (VPP) aggregation and microgrid control — filings that combine distributed energy resource aggregation with islanding, grid-forming, or microgrid energy management claims. The dataset spans 2015 through mid-2026 and totals 33 published families, a small but technically dense corpus concentrated in a handful of assignees.

Because publication typically lags filing by around 18 months, the 2025 and 2026 counts in the trend below are understated and should not be read as a real decline yet. The signal worth trusting is the shape of the curve through 2023-2024, and the composition of IPC classes attached to each family.

Filing activity and technology composition, 2015-2026
  1. 1Newell Co., Ltd. (transliterated)14
  2. 2Herui Technology Co., Ltd. (transliterated)12
  3. 3STORED ENERGY SYST LLC2
  4. 4Cummins Inc.1
  5. 5State Grid Shanghai Municipal Electric Power Company1
  6. 6Shanghai Electric Power Design Institute Co., Ltd.1
  7. 7STATMAN STU1
  8. 8SR UNIVERSITY1
  9. 9SANDERS DEAN1
  10. 10NAT INST OF TECH PUDUCHERRY1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology mix

33 families is a small enough sample that any single assignee's filing decision moves the yearly count. Read the trend as directional, not statistically firm.

A flat-to-declining curve after 2023

Filing was at zero in 2017, climbed to a peak of 9 families in 2023, and the 2022 midpoint of 3 shows the run-up was recent rather than a long build. The absence of sustained growth past the peak points to a technology whose core claim space is largely staked out, with new entrants filing narrower continuations rather than founding new architectures.

A flat-to-declining curve after 20230358100201720182019202020212022920232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Grid hardware dominates, but business logic is close behind

H02J (power supply and grid systems) appears in 31 of 33 families, effectively the entry ticket for this search. G06Q (business, commerce and admin data processing) appears in 18 — over half — confirming that aggregation and settlement logic is claimed nearly as often as the electrical control itself. B60L (EV propulsion) at 10 shows a meaningful vehicle-to-grid thread, while G06N (AI models) at just 2 marks a genuinely thin branch relative to the hype around AI-driven dispatch.

Grid hardware dominates, but business logic is close behindH02J · Power supply & grid systems3193.9%G06Q · Business, commerce & admin dat…1854.5%B60L · Electric vehicle propulsion1030.3%G05B · Control & regulating systems515.2%G06N · Computing based on AI models26.1%G06F · Electric digital data processi…13.0%

Shares are the percentage of the 33 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The record every later filer cites

Representative filing
US20250158409A12025-05-15

US20250158409A1 — "Virtual power plant" (Cummins Inc., filed 2025-05-15)

CUMMINS INC.

The present disclosure relates to the use of power-agnostic mobile vehicles, including internal combustion, hybrid, fuel cell, and battery electric vehicles, which can collectively transfer power back to the grid in ever larger and growing quantities of power. In other words, the present disclosure relates to the use of a network of vehicles to act as a grid.Notable for treating vehicle powertrain type as agnostic to the grid-forming claim — the aggregation logic, not the vehicle drivetrain, is the inventive core.

US20250158409A1 — patent drawing 1US20250158409A1 — patent drawing 2
View full record
Most-cited records in this corpus
#Publication no.Patent titleCitations
1US9960637B2Renewable energy integrated storage and generation systems, apparatus, and methods with cloud distributed ene…201
2US11695274B1Aggregation platform for intelligent local energy management system10
3US10903650B2Grid asset manager10
4US20220215486A1Optimization controller for distributed energy resources7
5US11747781B1Intelligent local energy management system at local mixed power generating sites for providing grid services5
6US20230297047A1Intelligent local energy management system at local mixed power generating sites for providing grid services4
7US11664678B2Grid asset manager4
8US20230275456A1Grid asset manager3
9US20210175709A1Grid asset manager3
10US20230420941A1Aggregation platform for intelligent local energy management system2

Citation counts favour older filings in any searched corpus; treat this table as a map of influence, not of what is newest or best.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three patterns stand out once the ranking and trend data are read together.

Citation concentration
201 citations
US9960637B2 vs. next-highest at 10

One grant anchors the whole cloud-DER cluster

US9960637B2 sits an order of magnitude above every other record in citation count. Anything claiming cloud-distributed energy management services for renewable storage and generation should expect this grant to surface in prior-art searches and freedom-to-operate reviews.

Cited-by data, most-cited table
Filing trajectory
9 families in 2023
peak year, down from there

Growth has not continued past the 2023 peak

With the 2022 midpoint at only 3 families, the run to 9 was compressed into roughly a year, and counts have not exceeded that since. Combined with the 18-month publication lag, this looks like a maturing claim space rather than a still-accelerating one.

Filing trend, 2015-2026
Class overlap
18 of 33 families
carry a G06Q business-logic claim

Dispatch and settlement logic is claimed as tightly as hardware

Over half the corpus pairs H02J grid control with G06Q business-process claims — bidding, settlement, or aggregation logic. Drafting a pure hardware claim without addressing the adjacent business-method layer leaves an opening competitors are already using.

IPC composition table
Consolidation signal
2 co-assignee pairs
across the entire 33-family set

Collaboration is rare; most filings are solo

Only two co-assignee pairs appear in the dataset, one involving two Chinese state-grid-linked entities and one a two-inventor US pairing. Most assignees are filing independently rather than through joint ventures, which keeps ownership of any given claim cluster simple to trace.

Co-assignee pairs
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to virtual power plant microgrid, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and what they've stopped filing

Recent-year momentum across the named assignees is uniformly flat: every tracked assignee shows zero filings in the latest recorded year, several with a -100% year-on-year drop. That is consistent with the 18-month publication lag rather than an actual filing freeze, but it means the ranking below reflects accumulated position, not current velocity.

Momentum check
0 filings
latest year, across all tracked assignees

No assignee shows current-year activity

Cummins, Stored Energy Systems, and the two Chinese state-grid-linked entities all report zero filings in the most recent tracked year, several down -100% YoY from the prior year. Read this against the publication lag before concluding anyone has exited the space.

Recent-year momentum table
Cross-border pairing
1 co-assignee pair
State Grid Shanghai Municipal Electric Power Company + Shanghai Electric Power Design Institute Co., Ltd.

State grid and design institute filing together

The strongest co-assignee pair links a state grid operator with an affiliated electric power design institute, a structure typical of Chinese utility-side microgrid deployments where the utility and its engineering arm co-own the resulting IP.

Co-assignee pairs
Receiving office spread
19 of 33
filings via the United States receiving office

Filing is US-centric with a thin international tail

Nineteen of thirty-three records were filed through the US, versus 3 each for India and WIPO's PCT route, 2 each for Canada and China, and 1 for the EPO. A first US filing without a matching PCT or EP counterpart is the norm here, not the exception.

Receiving offices
🔍
Under-claimed branches worth watching
Sub-areas with thin coverage relative to the core H02J/G06Q cluster
AI-driven dispatch optimisation (G06N overlap)vehicle-to-grid settlement logicblack-start sequencing for grid-forming inverterscross-microgrid islanding handoffEV fleet as mobile grid-forming asset
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Newell Co., Ltd. (transliterated)0-100%
Herui Technology Co., Ltd. (transliterated)0
STORED ENERGY SYST LLC0-100%
Cummins Inc.0
State Grid Shanghai Municipal Electric Power Company0
Shanghai Electric Power Design Institute Co., Ltd.0
STATMAN STU0
SR UNIVERSITY0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this

The dataset points to a narrow, occupied core and a thinner set of adjacent branches. Two directions follow from that.

Map claim scope against the 201-citation anchor

Before drafting in cloud-based distributed energy management, run a claim chart against US9960637B2 specifically — it dominates the citation graph and is the most likely prior-art collision for storage-plus-generation aggregation claims.

Explore in Eureka

Test the AI-dispatch gap for real freedom to operate

G06N appears in only 2 of 33 families despite widespread interest in AI-driven dispatch. Run a deeper prior-art pull specifically on machine-learning-based DER dispatch before assuming the gap is real rather than a search-string artifact.

Explore in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Virtual Power Plant Microgrid covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

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