文献类型：会议论文

英文题名：A Novel Binary Jaya Optimization for Economic/Emission Unit Commitment

作者：Yang, Zhile[1];Guo, Yuanjun[1];Niu, Qun[2];Ma, Haiping[3];Zhou, Yimin[1];Zhang, Li[2]

机构：[1]Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai Key Lab Power Stn Automat Technol, Shanghai, Peoples R China;[3]Shaoxing Univ, Dept Elect Engn, Shaoxing, Peoples R China

会议论文集：IEEE Congress on Evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)

会议日期：JUL 08-13, 2018

会议地点：Rio de Janeiro, BRAZIL

语种：英文

外文关键词：Environmental impact - Global warming - Iterative methods - Sustainable development

外文摘要：Economic unit commitment is a mix-integer large scale optimization problem calling for powerful and efficient tools. On the other hand, environmental impact related to the power generation is attracting increasing attentions due to the global warming trend and urgent calls for sustainable energy development. In this paper, the dual objectives of economic and emission unit commitment is converted into a single objective problem. For solving this, a novel binary Jaya optimization is proposed and integrated with lambda iteration method. The proposed binary Jaya method is inspired by the Jaya evolution and generates binary bits from a v-shape transfer function. Numerical study demonstrates the significant improvement of the binary Jaya in regarding the convergence speed for solving unit commitment problem. The solution distributions of the both objectives also show the effective of the proposed methods.