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Virtual Power Plant Demand Response Patents: Who Leads 2026

Virtual Power Plant Demand Response Patents: Who Leads 2026
https://www.patsnap.com/resources/blog/rd-blog/virtual-power-plant-demand-response-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Smart Grid & Energy Systems
Virtual Power Plant Demand Response Patents
  • China dominates the filing base. 412 of 521 records were filed at CNIPA, versus 42 in the US and 21 at the EPO — the centre of gravity for this claim space sits firmly in China.
  • Filing growth has stalled after a 2024 peak. Filings rose from 2 in 2017 to a peak of 127 in 2024, but the midpoint year (2022, 56 filings) shows the growth curve flattening rather than accelerating into that peak.
  • Business-process claims outnumber grid-hardware claims. 448 records carry a G06Q business-method IPC code against 349 in H02J power-systems — dispatch, scheduling and market-optimisation logic is more heavily claimed than the underlying grid equipment.
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521
Published Records
23%
Top-5 Share of All Records
+189%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (44 records) with 2024 (127) — 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 521 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

A virtual power plant (VPP) aggregates distributed energy resources — batteries, EV chargers, rooftop solar, flexible industrial loads — behind a single dispatch layer that can respond to grid signals as if it were one plant. Demand response is the commercial mechanism that makes that aggregation valuable: shedding, shifting or selling load in response to price or grid conditions. This landscape covers patent families filed between 2015 and mid-2026 that combine VPP or aggregated-DER architecture with demand response, load management, flexibility aggregation or peak-shaving claims, classified under H02J3/14, G06Q50/06 and H02J3/00.

Filing activity is concentrated in a narrow set of receiving offices and a short list of repeat filers, with most of the volume filed in the last five years — a pattern consistent with a claim space that opened recently and filled quickly rather than one that has matured over a long period.

Filing activity by year, 2017-2026
  1. 1STATE GRID CORPORATION OF CHINA35
  2. 2STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO31
  3. 3NORTH CHINA ELECTRIC POWER UNIV23
  4. 4LG ENERGY SOLUTION LTD16
  5. 5SOUTHEAST UNIV15
  6. 6NUVVE CORP12
  7. 7CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD12
  8. 8SHENZHEN POWER SUPPLY BUREAU12
  9. 9KOREA DISTRICT HEATING CORP12
  10. 10STATE GRID JIANGSU ELECTRIC POWER CO LTD10
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Virtual Power Plant Demand Response 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
The Data

Filing trends and technology composition

Two views of the same 521-family dataset: how filing volume has moved year over year, and how that volume splits across the technology areas each family touches.

Filing trend, 2017-2026

Filings climbed from 2 in 2017 to a peak of 127 in 2024. With 2022 sitting at 56 — roughly the midpoint of that climb — the trajectory reads as a fast run-up followed by a plateau rather than sustained acceleration. The 2025-2026 figures are still incomplete: publication typically lags filing by about 18 months, so recent years will revise upward as more applications publish.

Filing trend, 2017-202603875113150220172018201920202021202220231272024127202562026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

G06Q (business, commerce and administrative data processing) appears in 448 of 521 records, ahead of H02J (power supply and grid systems) at 349. G06F and G06N — general computing and AI-based computing — appear in 111 and 93 records respectively, indicating that a meaningful share of filings claim the optimisation or forecasting logic rather than physical grid hardware. B60L (EV propulsion), G05B (control systems), H04L and H04W (communications) form a much smaller tail, suggesting EV-integrated and communications-layer VPP claims are comparatively less crowded.

Technology composition by IPC subclassG06Q · Business, commerce & admin dat…44886.0%H02J · Power supply & grid systems34967.0%G06F · Electric digital data processi…11121.3%G06N · Computing based on AI models9317.9%B60L · Electric vehicle propulsion265.0%G05B · Control & regulating systems173.3%H04L · Digital information transmissi…112.1%H04W · Wireless communication networks71.3%Other152.9%

Shares are the percentage of the 521 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 Demand Response 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

Representative filing and most-cited prior art

Representative record
AU2024330449A12025-07-24

AU2024330449A1 — Device and method for operating a virtual power plant

LG ENERGY SOLUTION, LTD.

A method for operating a virtual power plant according to an embodiment of the present invention is a method for operating a virtual power plant (VPP) by a VPP operating device associated with a plurality of demand response (DR) resources, and may comprise the steps of: allocating a power reduction amount to each of the DR resources in response to a power reduction request; when a sale request for at least a part of the allocated power reduction amount is received from a first DR resource among the DR resources, providing information on power for sale to the remaining DR resources; and when at least one second DR resource having purchased the power for sale is determined, calculating a power…Filed by LG Energy Solution, Ltd., published 2025-07-24.

View full record
Most-cited records in this corpus
#Publication no.Patent titleCitations
1CN110188950A基于多代理技术的虚拟电厂供电侧和需求侧优化调度建模方法50
2CN109523052A一种考虑需求响应和碳交易的虚拟电厂优化调度方法49
3US9300141B2Virtual power plant system and method incorporating renewal energy, storage and scalable value-based optimiza…49
4US20170207633A1Aggregated and optimized virtual power plant control40
5CN113902227A一种虚拟电厂优化调度方法及装置36
6CN108875992A一种考虑需求响应的虚拟电厂日前优化调度方法33
7CN115271467A考虑电碳协同优化的虚拟电厂调度优化方法及应用31
8CN114243779A基于虚拟电厂的用户可调负荷资源需求响应方法及系统30
9CN113792953A一种虚拟电厂优化调度方法及系统27
10CN119692511A一种基于分布式能源的虚拟电厂协同优化运行方法24

Citation counts reflect influence within the searched corpus and skew toward older records; treat them as a signal of foundational status, not of current filing activity.

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.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Virtual Power Plant Demand Response 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 raw counts are set against each other: where the claim space is dense, where citation weight sits, and where collaboration is concentrated.

Geography
412 of 521
filed in China

CNIPA is the primary battleground

With 412 of 521 records filed in China against 42 in the US and 21 at the EPO, freedom-to-operate work for this space has to start with a Chinese prior-art search regardless of where a product will ship. US and European filings are a much smaller, more selective subset.

Receiving office data
Filing momentum
127 in 2024
peak year

Growth has plateaued, not accelerated

Filings rose from 2 in 2017 to 127 in 2024, but the 2022 midpoint of 56 shows the curve flattening well before the peak. Several of the most active named assignees show 0 filings in the latest tracked year and -100% year-on-year, consistent with a cohort that filed early and has since gone quiet.

Filing trend, 2017-2026
Claim balance
448 vs 349
G06Q vs H02J records

Optimisation logic is claimed more than hardware

Business-process and scheduling claims (G06Q) outnumber power-systems claims (H02J), meaning much of the contested space is dispatch algorithms and market logic rather than physical aggregation equipment — a harder area to design around cleanly because method claims can read broadly across implementations.

IPC composition
Collaboration
9 co-filings
strongest pair

Collaboration is narrow and utility-driven

Only 10 co-assignee pairs appear in the dataset, and the strongest — 9 shared filings between two state grid entities — points to utility-and-research-institute pairings rather than broad industry consortia. Most applicants file alone.

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 demand response, 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 Demand Response 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 where the gaps sit

The applicant base skews heavily toward Chinese state grid entities and affiliated research institutes, with a smaller group of international corporates filing more selectively. Recent-year momentum has cooled across the most visible names.

Applicant type
State grid + institutes
dominant filer profile

Utilities and their research arms lead volume

The most active named assignees are grid utilities and affiliated power-science research institutes, often filing jointly, which matches the concentration of filings in China and the pattern of co-assignee pairs built around a single parent utility.

Assignee and co-assignee data
Momentum
-100% YoY
across several top filers

Early leaders have gone quiet

Several of the assignees with the largest historical filing counts, including the leading state grid entity and multiple university co-filers, show zero filings in the latest tracked year. That does not mean the space is closed — it is more consistent with a first wave of filing having already claimed the obvious ground.

Recent-year momentum by assignee
International entrants
AU2024330449A1
2025 filing

Corporate entrants are filing narrower, later claims

LG Energy Solution's 2025 filing on VPP operating devices shows international corporates entering with tightly scoped device-and-method claims rather than broad architecture claims, a sign that the broad architectural ground is already occupied.

Representative record
🔍
Where the claim space is thinner
Sub-areas with lower filing density relative to the core dispatch and scheduling claims — worth checking before assuming the space is closed.
EV-charger-integrated flexibility aggregationpeer-to-peer power-for-sale resale mechanismsAI-based load forecasting for DR biddingwireless telemetry for DER aggregationcontrol-loop stability for mixed-DER dispatch
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
State Grid Corporation of China0-100%
State Grid Shanghai Municipal Electric Power Company0-100%
North China Electric Power University0-100%
LG Energy Solution, Ltd.0-100%
Southeast University0-100%
Korea District Heating Corporation0
Nuvve Corporation0-100%
Shenzhen Power Supply Co., Ltd.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Virtual Power Plant Demand Response 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

Turning this landscape into a filing or freedom-to-operate decision

The counts above show where the claim space is dense and where it has gone quiet. Turning that into a specific filing or design-around decision means running the same questions against the full claim text.

Check freedom-to-operate before drafting

With 448 records carrying business-process claims on dispatch and optimisation logic, a new filing in this area needs claim-by-claim comparison against the densest prior art, not just a keyword search.

Run a freedom-to-operate check in Eureka →

Track the quiet filers for re-entry

Several top assignees show -100% year-on-year filing activity. That is worth monitoring rather than assuming permanent — a change in filing behaviour from a state grid entity or research institute is an early signal worth catching.

Set up assignee monitoring in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Virtual Power Plant Demand Response 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 VPP demand response patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Virtual Power Plant Demand Response 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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