The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Available Transfer Capability Evaluation Considering CO2 Emissions Using Multi-Objective Particle Swarm Optimization

CO2 배출량을 고려한 가용송전용량 계산에 관한 연구

  • Received : 2000.01.04
  • Accepted : 2010.05.04
  • Published : 2010.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

Under the Kyoto Protocol many countries have been requested to participate in emissions trading with the assigned $CO_2$ emissions. In this environment, it is inevitable to change the system and market operation in deregulated power systems, and then ensuring safety margin is becoming more important for balancing system security, economy and $CO_2$ emissions. Nowadays, available transfer capability (ATC) is a key index of the remaining capability of a transmission system for future transactions. This paper presents a novel approach to the ATC evaluation with $CO_2$ emissions using multi-objective particle swarm optimization (MOPSO) technique. This technique evolves a multi-objective version of PSO by proposing redefinition of global best and local best individuals in multi-objective optimization domain. The optimal power flow (OPF) method using MOPSO is suggested to solve multi-objective functions including fuel cost and $CO_2$ emissions simultaneously. To show its efficiency and effectiveness, the results of the proposed method is comprehensively realized by a comparison with the ATC which is not including $CO_2$ emissions for the IEEE 30-bus system, and is found to be quite promising.

Keywords

References

  1. Ramanathan, "Short-term energy and emission trading analysis", IEEE Trans. on Power System, Vol. 10, No. 2, pp.1118-1124, May 1995. https://doi.org/10.1109/59.387959
  2. E.J.L. Chapping and G.P.J Dijkema "On the impact of CO2 emissions-trading on power generation emissions", Technological Forecasting & Social Change, Vol. 76, pp.358-370, 2009. https://doi.org/10.1016/j.techfore.2008.08.004
  3. North American Electric Reliability Council (NERC), "Available Transfer Capability Definitions and Determinations", June 1996.
  4. Sung-Su Kim, Mun-Keyom Kim and Jong-Keun Park "Consideration of Multiple Uncertainties for Evaluation of Availabe Transfer Capability Using Fuzzy Continuation Power Flow", International Journal of Electrical Power & Energy Systems, Vol. 30, Issue 10, pp.581-593, December 2008. https://doi.org/10.1016/j.ijepes.2008.08.004
  5. J. Kennedy and R. Eberhart, "Particle Swarm Optimization", Proc. IEEE Int. Conf. Neural Networks, Vol. IV, pp.1942-1948, 1995.
  6. Carlos A. Coello Coello, Gregorio T. Pulido and Maximino S. Lechuga, "Handling multiple objectives with particle swarm optimization", IEEE Trans. on Evolutionary Compuation, Vol. 8, pp.256-279, June 2004. https://doi.org/10.1109/TEVC.2004.826067
  7. Bo Zhao and Yi jia Cao, "Multiple objective particle swarm optimization technique for economic load dispatch", Journal of Zhejiang University SCIENCE, 6A(5), pp.420-427, 2005. https://doi.org/10.1631/jzus.2005.A0420
  8. S.L. Ho, Yang Shiyou, Ni Guangzheng, Edward W.C. Lo and H.C. wong, "A particle swarm optimization based method for multiobjective design optimizations", IEEE Trans. on Magnetics, 41(5), pp.1756-1759, May 2005. https://doi.org/10.1109/TMAG.2005.846033
  9. Deb, K. Agrawal, S. Pratap, A. and Meyarivan, T. "A Fast Elitist Multiobjective genetic algorithm: NSGA-II", IEEE Trans. on Evolutionary Computation, Vol. 6, No. 2, pp.182-197, April 2002. https://doi.org/10.1109/4235.996017
  10. Zitzler, E. and L. Thiele, "Multiobjective evolutionary algorithms : A comparative case study and the strength Pareto approach", IEEE Trans. on Evolutionary Computation, Vol. 3, No. 4, pp.257-271, 1999. https://doi.org/10.1109/4235.797969
  11. Xiaodong Li. "A non-dominated sorting particle swarm optimizer for multiobjective optimization", In Erick Cantú-Paz et al., editor, Proceeding of the Genetic and Evolutionary Computation Conference, Springer. Lecture Notes in Computer Science Vol. 2723, pp.37-48, July 2003.
  12. M. Clerc, J. Kennedy, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space", IEEE Trans. on Evolutionary Computation, Vol. 6, No. 1, pp.58-73, 2002. https://doi.org/10.1109/4235.985692
  13. Bresesti, P., Lucarella, D., Maranniono, P., Vailati, R., Zanellini, F., "An OPF-based procedure for fast TTC analyses", IEEE Power Engineering Society Summer Meeting, Vol. 3, pp.1504-1409, 2002.
  14. Kit Po Wong, Bei Fan, C.S. Chang, A.C. Liew, "Multi-Objective Generation Dispatch Using Bi-Criterion Global Optimization", IEEE Trans. on Power Systems, Vol. 10, No. 4, pp.1813-1819, Nov. 1995. https://doi.org/10.1109/59.476045