SCADA for Surge Control

Using a SCADA Network to Handle Surge Control in Gas Suppression Systems in Pipelines

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Fig. 13: Results of the surge detection in compression system: mass flow input 

 

Fig. 14: Results of the surge detection in compression system with controlled surge: mass flow input
Fig. 14: Results of the surge detection in compression system with
controlled surge: mass flow input

Figure 15 shows the response of the compression system for the pressure rises and the associate residual. We remark a value that the residuals consistently exceed during the surge operation. Figure 16 shows the response of the compression system to the pressure rises and the associate residual. In this case, the behavior of our compression system is considered nominal (without surge). There is no a value for the residuals. These signals are exactly zero.

Fig. 15: Results of the surge detection in compression system: Output gas pressure
Fig. 15: Results of the surge detection in compression system: Output gas pressure  

 

Fig. 16: Results of the surge detection in compression system with controlled surge: Output gas pressure
Fig. 16: Results of the surge detection in compression system with controlled
surge: Output gas pressure

Conclusion

This paper described the implementation of a novel approach in gas compression system pipeline supervision using a SCADA system and substation controllers of the centrifugal compressor. Surge can be successfully detected and isolated, even though only a limited amount of the input/output data is available. The integration of advanced pipeline applications into the SCADA system in gas compression system supervisory guarantees safe operation of gas transportation. Other safety-improving features include the distribution of gas flow, SCADA system redundancy, dynamic line in SCADA displays according to pipeline content, and automation of compression stations with fault-tolerant surge protection. SCADA systems have been implemented using proprietary equipment, already including the effects of uncertainties that are based only on the input-output data in the tested gas compression system, but in this application we have described a way of implementing such systems over a distributed control system network and taking full advantage of generic, general purpose equipment. In addition, the results of the examined example demonstrate the quality of performance, and it was found that the system exhibits better performance responsiveness than the conventional system while maintaining the same high level of reliability.


Dr. Ahmed Hafaifa is associate professor in the Department of Technology Science in the University of Djelfa, Algeria

Attia Daoudi is associate Professor (MAA) at Djelfa University. He received his magister diploma in electrical and control engineering from the University of Blida, Algeria.

Mouloud Guemana is an associate professor at the University of Boumerdès, Algeria. His research interests include optimization of a measuring equipment of flow in natural gas, maintenance and reliability systems. 


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