Xinan Intelligence Technology · 2026-10-05

VPP system design brief

Connect energy resources, edge controllers and dispatch platforms through aggregation, gateways and custom equipment.

VPP & equipment R&DOriginal AI-generated concept scene; not a real customer, device or project result.

Resource assessment

Inventory sites and distinguish installed, available, flexible and eligible capacity. Check load history, SOC, equipment, comfort and contracts; installed capacity is not automatically dispatchable.

Architecture and control

Gateways handle data and local protection; platforms forecast, optimize and audit commands. Constrain policies by equipment and grid limits; retain offline safety and protect critical DCP workloads.

Market prerequisites

Verify local eligibility, aggregation rights, metering, baselines and settlement. Software does not confer trading rights; revenue estimates must state assumptions and risks, not promises.

What we can develop

From requirements to handover

  1. Requirements and authorization: define the problem, owners, data and interface rights.
  2. Plan and baseline: agree scope, risks, budget, deliverables and acceptance.
  3. Prototype and pilot: validate critical flows and recovery in controlled environments.
  4. Integration and acceptance: review test evidence, not demonstrations alone.
  5. Handover and maintenance: deliver docs, training, access, backups and iteration plans.

Scenario and solution studies

Concept studies illustrate design and acceptance, not completed customer projects.

Campus solar-storage-charging pilot

Project context: Solar, storage and chargers operate separately.

Solution approach: Define constraints and metering baselines, monitor first, then test authorized dispatch.

Acceptance focus: Check response deviation, SOC limits, logs and offline protection.

DCP flexible compute-load coordination

Project context: Flexible jobs can shift, but critical services cannot.

Solution approach: Classify workloads and service levels; shift noncritical jobs during energy events and record compute costs.

Acceptance focus: Assess energy response, completion and service quality together, not energy savings alone.

Industrial load monitoring and flexibility

Project context: A factory has flexible loads but prioritizes production and safety.

Solution approach: Assess timing and process limits; baseline data before staged authorized control.

Acceptance focus: Verify process constraints, baselines, delay and recovery without forcing all loads.

Urban charging energy coordination

Project context: Multiple charging sites need monitoring and capacity limits.

Solution approach: Integrate metering and authorized control with user needs and local protection.

Acceptance focus: Check power caps, completion, communication failures and user impact.

Data and acceptance measures

Measures guide project testing. Except for cited industry definitions, they are not achieved Xinan results or performance promises.

Sources and industry references

Third-party material is technical reference, not a partnership or endorsement. Checked: 2026-10-05.

DOE Virtual Power Plants 2025 Update

Source for the 2030 deployment scenario and consumer resource aggregation; not guaranteed outcomes.

DOE Project Hestia / VPP projects

Public case: Project Hestia covers residential solar, storage and VPP-ready software; not a Xinan project.

Before we start, tell us

Location, resources, protocols, metering, dispatch rights, market conditions and pilot sites.

Delivery and usage boundaries

Dispatch, interconnection and trading require local compliance; no revenue guarantee or claim that concepts have operating authorization.