SMART & GRID4Life

Innovation for Dynamic Business

The utility & energy sectors are facing significant changes in today’s world. With the growth of renewable energy production and changes in consumer behaviour and lifestyles, the future of reliable energy is uncertain and largely dependent on the deployment of sophisticated technical solutions.

Ness Technologies is helping to define projects that make sense and offer advantages for the technological, business and procurement departments of our partners and clients.

TECHNOLOGICAL CHALLENGES…

Difficulties in predicting the production of energy from RES (Renewable Energy Solutions?)

The need to significantly expand metering to low-voltage technological equipment

Processing large volumes of data in real time

Requirements to operate/control low-voltage networks

…AND THEIR POTENTIAL BENEFITS

New methods of production and consumption (balance) forecasts on a low-voltage network level

Usage of newly obtained data about network behaviour on low-voltage levels:

  • to improve the quality of the electricity supply
  • for active involvement of end customers (DSR – Demand Side Response)
  • for analysis and simulation of distribution network behaviour (optimization of development and operation of the network) as well as customers (new products)
  • for operational dispatch management and faster resolution of outages
  • Costs and time savings
  • Focus on core business activities
  • Excellent technical and support staff
  • Transfer of risk
  • Optimization of your business and process activities

​​​Smart Grid is a necessary response of the distribution companies to the new challenges in the energy sector.

​​Smart Grid is a platform that helps companies to prepare for changes coming in the following years. Global changes in many spheres of life affect energy companies at the first place. Success of these companies depends on how they respond to these changes.

 

 

​Smart Grid combines experience from utility, telecommunication and banking projects, and covers:

  • Local management of distribution grid
  • Balancing and optimizing local production and consumption
  • Management of the region in the “island” mode​
  • Readings and management of electricity meters
  • Collection of measurements and other data (sensors, probes, active elements)
  • Management of electric vehicle’s charging stations

Advantages of Smart Grid solutions

Operating Benefits

  • Optimizing operation of distribution grid
  • Prediction and prevention of failures
  • Increase network stability (eliminating the impact of unpredictable sources)

Business Benefits for Distributors

  • Higher quality of supplied energy and services

Business Benefits for Dealers

  • Provision of value-added services
  • SLA management

Economic Benefits

  • Saving costs of further network building
  • Increase revenue by eliminating losses

References

CEZ Distribuce – Dispa​​​tching Control System​

We have successfully implemented the key project of introducing a unified dispatching system for managing distribution network of very high, high and low voltage for the company CEZ Distribuce. The new system replaced five existing different dispatching systems. Ness won this contract in public procurement of this largest electricity distributor in the Czech Republic.       

Apart from implementing new Smart Grid projects, the new system enabled optimization of CEZ Distribuce distribution network management, particularly a greater degree of security and possibility of cooperation between regions, including the complete takeover of management in case of outages or natural disasters. Another advantage includes the improvement of the level of interconnection with customer systems and call center, which enables the distributor faster and more precise identification and solution of the problem reported by customer.     

Ness experts in cooperation with its partner ELEKTROSYSTEM a.s. delivered the complete hardware and software infrastructure and the tried and tested management system RIS, ensured data migration and integration and created interface for other systems of the client, such as GIS, SAP, CRM of customer centers etc. Simulator for training of dispatchers, together with the condition that implementing the entire project must not endanger the operation of distribution system, were an important part of the delivery.    

Per second, the system can process up to 1,000 changes which enter it from data concentrators. During major changes or failures in the distribution network the performance can be many times higher. All of the data is processed within 2 seconds after entering the dispatch control system and thus available for future decision making and management of the distribution system.​

CEZ – Automatic Meter Manag​​ement

Ness Technologies experts implemented the Powel ELIN technology in CEZ Mereni within the wide pilot project of automatic metering. It studies new methods of electricity metering in the CEZ Group by collecting data on consumption and network using Smart Meters. The collected data is analyzed and used for optimization of the CEZ Distribuce distribution network.       

The main objective of this unique project was to gain information on operation and possibilities of SMART Metering implementation in the conditions of the Czech Republic and to enable CEZ to test current HW and SW technologies in real environment of the distribution network. The project further aimed to specify the requirements for possible future roll-out of SMART Metering and create conditions for development and testing of the Smart region concept, in which SMART Metering creates multi-utility data from consumption of electricity, gas and water.         

About 35,000 SMART Meters were deployed in the distribution network for the purpose of the pilot project, which represented about 1 % of all meters in the CEZ network.    

The project successfully demonstrated the possibilities and outcomes of the SMART Metering system deployed in the existing network of the Czech Republic.

Other selected related references

  • Analysis and final ICT design for ČEZ Smart Region project
  • AMM Pilot Project for E.ON Hungary​

Documents for download

Energetic systems cannot rely simply on predictions based on intuition, experience or assumptions. We have to act responsibly and utilize mathematical methods and technological know-how for the most relevant and precise data.

This approach will enable cutting costs, make processes more accurate and – the most important – eliminate possible crisis situations (gas leaks and explosions, power blackouts, …).

Examples of utilizing predictions

  • Predicting locations of risky pipelines saves maintenance and repair costs of gas suppliers
  • Photovoltaic electricity suppliers are dependent on prediction of intensity and duration of solar exposure – the temperature inversion can for example cause a complete decommission of photovoltaic power plants and influence the electricity price
  • With the correct data about temperature inversion electricity can be purchased at lower prices while optimizing own production share
  • Electricity suppliers face an unexpected growth in local production (e.g. photovoltaic plants and wind power plants) which may cause dangerous overloads of  systems
  • Prediction of electricity production and optimization of its purchase efficiently covers consumption and reduces costs
  • Information on the future network input enable optimization in advance and protection of low and middle-voltage systems against overloads

We offer these prediction systems

Predictive maintenance for utilities

  • Designed for operators in the Energy sector (electricity, district heating, gas, water)
  • Timely information on the necessary repair of certain components in distribution system
  • Cutting maintenance costs using advanced analytics

Weather forecasts for photovoltaic companies

  • Timely information on the duration and strength of sunshine
  • Information about possible freezing
  • Help to manage production and distribution more efficiently
  • Optimization of electricity purchases

Failures in machinery companies

  • Timely information on possible machinery failures
  • Calculation of various aspects (e.g. load-strain-stress, number of performed maintenances, history of machinery operation, surrounding conditions etc.)
  • Protection against the business-critical failures
  • Maintenance costs reduction

Optimal production for energy producers

  • Information on the most efficient utilization of each source available in advance
  • Cutting production costs with optimal utilization of all accessible resources

Documents for download

…ability to evaluate difficult simulations of Smart Grid and save future costs.

​​​​​​​​​Energy production starts to be more and more decentralized and atomized with the growing number of photovoltaic and wind power plants. Energy production using renewable energies generates lots of benefits (e.g. carbon footprint reduction). On the other hand it places big demands on current distribution networks – with risks like overloads, failures and blackouts at worst.

Smart Simulator provides

  • Ability to run simulations in a wide range and save future costs
  • Minimization of risk related to launching Smart Metering / Smart Grid projects
  • Information about the real behavior of components in the network without the necessity to purchase costly infrastructure and hire specialists
  • Relevant data showing what exactly we need in the following steps of the project (e.g. RFP)

Smart Simulator can answer these specific questions…

  • How many measured values can the system for data collection and control process?
  • How often can you get the outputs / measured values?
  • What kind of data protocol is the most reliable for certain case?
  • Where are potential risks in your Smart Metering / Smart Grid infrastructure or technology?
  • How will the tested system handle extreme situations like failure of communication system?
  • What is the relevant information about the following steps of the project?
  • What will happen if the number of photovoltaic power plants in the distribution network increases by 30 %?
  • What impact will the defined change of weather have on the network operation? (e. g. increase in energy produced by wind or photovoltaic power plants)
  • What is the most optimal communication technology between single network elements in a given locality?

…and many others​

References

CEZ Distribuce – Dispa​​​tching Control System​

We have successfully implemented the key project of introducing a unified dispatching system for managing distribution network of very high, high and low voltage for the company CEZ Distribuce. The new system replaced five existing different dispatching systems. Ness won this contract in public procurement of this largest electricity distributor in the Czech Republic.       

Apart from implementing new Smart Grid projects, the new system enabled optimization of CEZ Distribuce distribution network management, particularly a greater degree of security and possibility of cooperation between regions, including the complete takeover of management in case of outages or natural disasters. Another advantage includes the improvement of the level of interconnection with customer systems and call center, which enables the distributor faster and more precise identification and solution of the problem reported by customer.     

Ness experts in cooperation with its partner ELEKTROSYSTEM a.s. delivered the complete hardware and software infrastructure and the tried and tested management system RIS, ensured data migration and integration and created interface for other systems of the client, such as GIS, SAP, CRM of customer centers etc. Simulator for training of dispatchers, together with the condition that implementing the entire project must not endanger the operation of distribution system, were an important part of the delivery.    

Per second, the system can process up to 1,000 changes which enter it from data concentrators. During major changes or failures in the distribution network the performance can be many times higher. All of the data is processed within 2 seconds after entering the dispatch control system and thus available for future decision making and management of the distribution system.​

Documents for download