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Intelligent Techniques in Engineering Management pp 275–293Cite as

Optimization in Production Management: Economic Load Dispatch of Cyber Physical Power System Using Artificial Bee Colony

Part of the Intelligent Systems Reference Library book series (ISRL,volume 87)

Abstract

It is well-known that one of the major application areas of cyber physical system (CPS) concept is in energy control and optimization, i.e., cyber physical power system (CPPS). Within this context, the electricity production management is becoming far more complex than those traditional power systems. Under this circumstance, we pay our attention to economic load dispatch problem (ELDP) in this chapter. The ultimate goal of ELDP is to schedule the output of the committed generating units in a reliable and efficient manner. Artificial bee colony (ABC) algorithm, inspired by the foraging behaviour of honeybee swarms, is employed as an effective approach to optimize the system structure within non-smooth cost functions due to its simple and flexible than most optimization algorithms in terms of algorithm structure. A test example is used to illustrate the flexibility and effectiveness of the proposed algorithm. The results show that the ABC is promising in terms of accuracy and efficiency.

Keywords

  • Cyber physical system (CPS)
  • Economic load dispatch problem (ELDP)
  • Computational intelligence (CI)
  • Artificial bee colony (ABC)
  • Cyber physical power system (CPPS)

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  1. Computational Intelligence, Robotics, and Cybernetics for Leveraging E-Future (CIRCLE), Department of Computer Science, School of Mathematical and Computer Sciences, Faculty of Science and Agriculture, University of Limpopo, Private Bag X1106, Limpopo, Sovenga 0727, South Africa

    Bo Xing

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    Cengiz Kahraman

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    Sezi Çevik Onar

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Xing, B. (2015). Optimization in Production Management: Economic Load Dispatch of Cyber Physical Power System Using Artificial Bee Colony. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_12

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