Research and Evaluation on Environmental Economic Dispatch Including Wind Farm Based on Relative Entropy Balance

Abstract:

This paper analyzes the factors on dynamic economic dispatch including wind farms. Environmental economic dispatch model including wind farms is proposed. Considering the thermal power generation cost, thermal power polluting emissions and low cost of wind power generation, the objective function is to minimize the total cost in system. Environmental economic dispatch including wind farm is studied with chaotic ant colony optimization algorithm which has advantage of strength searching capability and fast optimizing. Meanwhile, the application of the relative entropy balance theory is on evaluation and selection to the decision results. The simulation results show the model and algorithm are correct and effective.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 3621-3627
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.3621
• Online since: November 2011
• Authors: Xiao Hui Zhang, Zhi Gang Lu
• Keywords: Chaotic Ant Swarm Algorithm, Emission Cost, Environmental Economic Dispatch, Generation Cost, Relative Entropy Balance

References

[1] John H，David C Y，Kalu B．An economic dispatch model incorporating wind power．IEEE Trans on Energy Conversion, 2008, 23(2): 603-611.

[2] Chen Chunlung．Optimal wind thermal generating unit commitment．IEEE Trans on Power Systems, 2001, 16(4): 273-280.

[3] Shubham A，Panigrahi B K．Multiobjective particle swarm algorithm with fuzzy clustering for electrical power dispatch．IEEE Trans on Evolutionary Comutation, 2008, 12(5): 529-541.

DOI: 10.1109/tevc.2007.913121

[4] Chen Haiyan，Chen Jinfu，Duan Xianzhong．Fuzzy modeling and optimization algorithm on dynamic economic dispatch in wind power integrated system(in Chinese)．Automation of Electric Power Systems, 2006, 30(2): 22-26.

[5] YUAN Tie-jiang, CHAO Qin, TUERXUN Yibulayin, et al. An Environmental Economic Dispatch Model for Power Grid Containing wind power generation units and its simulation in electricity market environment. Power system technology, 2009. 33(6): 67-71.

[6] Yang Ming，Han Xueshan, Liang Jun, Lee Weijen. A novel solution for economic dispatch with greenhouse gases emission constraints. Transactions of china electrotechnical society, 2008, 23(12): 166-172.

[7] ZHOU Wei, PENG Yu, SUN Hui, WEI Qing-hai. Dynamic economic dispatch in wind power integrated system. Proceedings of the CSEE, 2009，29(25): 13-18.

[8] Li L X, Peng H P, Wang X D, et al. An optimization method inspired by chaotic, ant behavior. International Journal of Bifurcation and Chaos, 2006, 16(8): 2351-2364.

DOI: 10.1142/s0218127406016100

[9] Tang Y G，Cui M Y，Li L X，et al. Parameter identification of time-delay chaotic system using chaotic ant swarm. Chaos, Solitons and Fractals, 2009, 41(4): 2097-2102.

DOI: 10.1016/j.chaos.2008.09.044

[10] ZHAO Meng, QIU Wan-hua, LIU Bei-shang. Relative entropy evaluation method for multiple attribute decision(in Chinese). Control and Decision, 2010, 25(7): 1098-1100.

[11] Zhou Y F, Wei F J. Combination weighting approach in multiple attribute decision making based on relative entropy(in Chinese). Operations Research and Management Science, 2006, 15(5): 48-53.

[12] Wan S.P. Congregation of the experts' weights based on relative Entropy for group decision- making problem with incomplete information. Communication on Applied Mathematics and Computation, 2009, 23(1): 66-70.