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Energy Management 


Energy automation systems for reliable control and optimised energy import


Modern energy automation software systems support the users in their attempt to optimise engineering and production processes, to cut down energy consumption and wastage and, thus, to reduce costs. Jürgen Resch reports.


R


ecent political decisions influencing the energy market on a global scale underline an increased awareness of the need for major changes in energy generation and distribution in order to meet future


supply demands. With more investment in automated control, smart grid, renewable energy and energy management systems, governments, utility suppliers and industrial companies can now take action. Modern automation software customised for the complex needs of the energy industry should offer at least the following two technologies:


● A SCADA system used for control centres and substation automation, and


● A core system for IED (Intelligent Electronic Devices) offering IEC 61131-3 compliant PLC capability, DNP3, IEC 60870 and IEC 61850 including GOOSE.


Using both technologies provides the operator


with real measurable benefits. By using GOOSE, copper wiring between the IEDs can be reduced to a minimum. In the past, all data exchange was realised via cables – a time-consuming method that was linked to high costs and much effort. Using GOOSE, the only requirement is a network structure. Usually, the network is fibre optic and thus, it can


carry a lot of data between the IEDs. Te IED itself can be equipped with the IEC 61131-3 compliant PLC in order to calculate interlocking and other parameterisation. Programming with an IEC 61131-3 compliant tool is much easier and cost-effective than doing the same with relays. Even debugging and commissioning is faster and more intuitive. Te IEDs work automatically and communicate via GOOSE with each other. In the context of an energy automation system, the


data from the field (from the IEDs) is sent back to a data concentrator or a SCADA system. Te collected data supports the operator in his decision-making: He will automatically be informed about alarms and,


Fig. 1. Major changes are needed in energy generation and distribution in order to meet future supply demands.


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