CASE STUDY

Energy and infrastructures

Software development to rule the complexity of energy distribution, monitoring, and efficiency.

SCADA

ReactJS

Java

WildFly

Oracle

INTRODUCTION

Siemens Digital Grid is a leader in the engineering and delivery of innovation for Energy Distribution and Telecontrol Systems. With an increasing market demand for automation and efficiency, Siemens faces many challenges in providing DSOs and TSOs with state-of-the-art technological solutions.
WellD is a premium qualified supplier of this toolchain, providing software engineering and configuration services across different tiers: energy distribution, e-mobility, smart building infrastructures, IoT and microgrids.

CHALLENGE

Energy distribution, in its different nuances, is a critical infrastructure for the modern society. Several traditional markets, from industry supply to automotive, are converging towards electricity as a primary resource. This paradigm shift is posing several challenges to provide both energy operators and their clients with end-to-end services.

From Grid Control to E-Mobility, Siemens asked WellD to support the design and development of complex software (web and mobile) to monitor the network, and provide operators with decision-critical information in real-time. An example of these solutions is a web-based application, named RETIM, to monitor outages over the MV network and report / analyze each of them.

Challenging requirements included:

Ability to gather and display real-time on-field data from millions of different sources (distributed, multi-CO SCADA system)
Ability to analyze and report over critical outage information, such as cause and interrupted users
Ability to centrally monitor and localize outages over the physical network
Ability to identify faults and optimize intervention planning
Ability to process and gather data to evaluate the quality of the network
Ability to display data from different countries using different SCADA systems

Provide energy operators with decision-critical information

SOLUTION

Real time processing of information from the Scada system is achieved through Oracle Queues, allowing to support peak traffic in distress situations.

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The information is processed and enriched with third party data in a Java based application.
System operator can add information, plan interventions and repair.
Real time reports are available and can be scheduled for automatic exports.

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Apache Kafka is used to transmit processed data from a single deployment to a central service.
Data from different countries and different SCADA systems can be displayed and accessed in near real time.