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Remote Microgrid SCADA Integration

One secure system. Full visibility. Real-time control across a remote hybrid microgrid comprising solar PV, battery storage, wind turbines, and diesel generators—with no existing documentation.

CommercialUtility Scale MicrogridSCADA IntegrationSolarBattery Storage 5 min read

Key Results

4 months
Implementation Time
100%
Asset Visibility
Zero
Security Compromises
Complete
Documentation Created

Challenge: The client required real-time operational visibility of a remote hybrid microgrid but faced several fundamental challenges: no existing documentation (no network diagrams, IP address lists, or Modbus register maps), heterogeneous technologies from different vendors, remote development constraints, strict security requirements prohibiting direct internet exposure, and no unified view for operators or connected customers.

Solution: Konductor delivered a secure, on-premises SCADA and data integration solution. With no prior documentation available, the project began with structured reverse-engineering: network scanning, manual interrogation of PLCs and controllers to discover Modbus registers, and validation of scaling and units across all asset types. The platform was deployed locally within the site network with controlled outbound data flow.

Results: The project delivered full operational visibility of a complex hybrid microgrid, a secure future-proof SCADA architecture suitable for remote sites, reduced operational risk through clear validated data, faster fault detection across all asset types, and improved customer engagement through real-time transparency dashboards.

Case Snapshot

ItemDetails
SectorDistributed Energy & Microgrids
LocationRemote / Off-grid site
AssetsSolar PV, BESS, wind turbines, diesel generators
Period4 months
UsersMicrogrid Operator, Asset Owner, Remote Operations Team, Connected Customers
IntegrationsModbus/TCP, Modbus RTU (via gateways), On-premises SCADA

Reverse Engineering & Data Discovery

With no prior documentation available, the project began with a structured reverse-engineering process:

  • Network scanning and traffic analysis to identify active IP addresses and device roles
  • Manual interrogation of PLCs, inverters, and controllers to discover Modbus registers
  • Validation of scaling, units, and data quality across all asset types
  • Creation of a complete asset register, network map, and tag list from first principles

Secure On-Premises Deployment

To meet strict security requirements, Konductor was deployed locally:

  • All Modbus polling and protocol handling performed on-premises
  • No inbound connections required from external networks
  • Hardened edge deployment acting as the single integration point
  • Controlled outbound data flow for selected, non-sensitive metrics only

What Changed

AreaBeforeAfter
VisibilityNo unified view; device-level access onlySingle real-time view of the entire microgrid
DocumentationNone availableComplete network map, asset register, and tag list
SecurityAd-hoc remote accessHardened on-premises deployment
OperationsManual checks and guessworkLive data, alarms, and status visibility
Customer insightNo real-time accessLive dashboards via Konductor app

Why Konductor?

  • Designed to support multiple energy asset types in a single system
  • Proven in remote and security-sensitive environments
  • Open, protocol-agnostic integration approach
  • Clear separation between control, monitoring, and data sharing
  • One platform from device-level data to customer-facing insights
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