Economic power dispatch with cubic cost models using teaching learning algorithm
Economic power dispatch with cubic cost models using teaching learning algorithm
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DOI：
10.1049/iet-gtd.2013.0603
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发表时间：
2014-07
影响因子：
2.5
通讯作者：
E. Elanchezhian;S. Subramanian;S. Ganesan
中科院分区：
文献类型：
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作者：
E. Elanchezhian;S. Subramanian;S. Ganesan
经济调度（艾德）的求解精度可以通过三次费用模型和优化算法来提高。本文提出了一种新的方法来解决艾德问题的三次成本模型的教学学习为基础的优化（TLBO）算法。艾德方案的关键方面，如阀点效应，环境因素，传输损耗，旋转储备，斜坡率，禁止操作区和燃料限制被认为是在这项研究中。所提出的方法被应用到测试系统，涉及三次成本方程在3，5，6，13，26和一个大规模的系统包含156个单位，以评估其效率和可行性。的TLBO的收敛特性进行了评估和研究，通过与文献中报道的结果进行比较。已对所有试验系统进行了具有不同初始值的许多试验，以证明所提出方法的稳健性。考虑到所获得的解的质量和收敛速度，该方法似乎是一个有前途的替代方法来解决的艾德问题的三次函数。
Economic dispatch (ED) solution accuracy can be improved with cubic cost models and optimisation algorithms. This article proposes a new methodology for solving ED problem with cubic cost models using teaching learning-based optimisation (TLBO) algorithm. The key aspects of ED scenario such as valve point effects, environmental factors, transmission losses, spinning reserve, ramp rate, prohibited operating zones and fuel limitations are considered in this study. The proposed methodology is applied to test systems involving cubic cost equations in 3, 5, 6, 13, 26 and a large-scale system containing 156 units, in order to evaluate its efficiency and feasibility. Convergence characteristics of the TLBO has been assessed and investigated through comparison with results reported in the literature. Many trials with different initial values have been carried out for all the test systems in order to justify the robustness of the proposed methodology. Considering the quality of the solution and convergence speed obtained, this method seems to be a promising alternative approach for solving the ED problems with cubic functions.