The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Economic Profit Analysis for Centralized Operation of Economic Load Dispatch Problem

경제급전문제의 통합운영에 관한 경제적 이득 분석

  • Lee, Sang-Un (Dept. of Multimedia Eng., Gangneung-Wonju National University)
  • 이상운 (강릉원주대학교 과학기술대학 멀티미디어공학과)
  • Received : 2015.10.05
  • Accepted : 2016.04.08
  • Published : 2016.04.30
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Abstract

This paper demonstrates that centralized economic load dispatch optimization is much more economical than independent optimization carried out by individual power generating companies. The algorithm applied here optimizes by balancing the generation power at the valve-point, then readjusting generation power by comparing incremental operating cost incurred by marginal increase in the generation power and decremental operating cost likewise incurred by marginal decrease in the generation power. Upon comparing 3 individual optimization cases of 10, 13, and 40 generators respectively with centralized optimization of 63 generators, centralized operation for economic load dispatch optimization has proven to maximize economic benefits by markedly reducing operation costs of individual optimization.

본 논문은 경제급전 최적화 문제에 개별 발전회사별로 독립적으로 경제급전을 수행하는 방법에 비해 중앙에서 통합하여 경제급전 최적화를 수행하는 경우가 보다 경제적임을 보였다. 이 경우에 적용된 알고리즘으로 밸브지점으로 발전량을 조절하는 균형방법을 수행한 후 발전량을 감소시킬 때의 비용 감소분과 증가시킬 때의 비용 증가분 차이로 발전량을 상호 교환하는 방법으로 최적화를 수행하였다. 10대, 13대과 40대-발전기를 독립적으로 운영하는 경우와 통합된 63대-발전기를 경제급전하는 경우를 비교한 결과 통합운영 방법이 독립적 경제급전에 비해 발전비용을 획기적으로 감소시켜 경제적인 이익을 극대화 시킬 수 있음을 보였다.

Keywords

References

  1. A. A. El-Fergany, "Solution of Economic Load Dispatch Problem with Smooth and Non-Smooth Fuel Cost Functions Including Line Losses Using Genetic Algorithm," International Journal of Computer and Electrical Engineering, Vol. 3, No. 5, pp. 706-710, doi: 10.7763/IJCEE.2011.V3.407, May 2011.
  2. P. Sriyangong, "A Hybrid Particle Swarm Optimization Solution to Ramping Rate Constrained Dynamic Economic Dispatch," World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, Vol. 2, No. 11, pp. 859-864, 2008.
  3. P. Attaviriyanupap, H. Kita, E. Tanaka, and J. Hasegawa, "A Hybrid EP and SQP for Dynamic Economic Dispatch with Non-smooth Fuel Cost Function," IEEE Trans. on Power System, Vol. 17, No. 2, pp. 411-416, doi:10.1109/MPER.2002.4312139, Apr. 2002.
  4. L. S. Coelho and V. C. Mariani, "Combining of Chaotic Differential Evolution and Quadratic Programming for Economic Dispatch Optimization with Valve-Point Effect," IEEE Trans. on Power Systems, Vol. 21, No. 2, pp. 989-996, doi:10.1109/TPWRS.2006.873410, May 2006.
  5. A. Rabiei, A. Soroudi, and B. Mohammadi, "Imperialist Competition Algorithm for Solving Non-convex Dynamic Economic Power Dispatch," Energy, Vol. 44, No. 1, pp. 228-240, doi:10.1016/j.energy.2012.06.034, Aug. 2012.
  6. R. Balamurugan and S. Subramanian, "Self-Adaptive Differential Evolution Based Power Economic Dispatch of Generators with Valve-Point Effects and Multiple Fuel Options," International Journal of Computer Science and Engineering, Vol. 1, No. 1, pp. 10-17, 2007.
  7. J. B. Park, W. N. Lee, and J. R. Sin, "An Improved Particle Swarm Optimization for Economic Dispatch Problems with Non-Smooth Cost Functions," International Journal of Innovations in Energy Systems and Power, Vol. 1, No. 1, pp. 1-7, doi:10.1109/PES.2006.1709300, 2006.
  8. S. U. Lee, "Optimization of Economic Load Dispatch Problem Using Linearly Approximated Smooth Fuel Cost Function," Journal of The Institute of Internet, Broadcasting and Communication, Vol. 14, No. 3, pp. 191-198, doi:10.7236/JIIBC.2014.14.3, Jun. 2014.
  9. S. U. Lee, "Balance-Swap Optimization of Economic Load Dispatch Problem using Quadratic Fuel Cost Function," Journal of The Institute of Internet, Broadcasting and Communication, Vol. 14, No. 4, pp. 243-250, doi:/10.7236/JIIBC.2014.14.4.243, Aug. 2014.