广东电力Issue(2)：45-49,5.DOI:10.3969/j.issn.1007-290X.2015.02.009
基于量子遗传算法的电网碳排放优化模型
Optimization Model for Power Grid Carbon Emission Based on Quantum Genetic Algorithm
摘要
Abstract
In allusion to problems of power grid enterprises neglecting electric power generation and transmission in evalua-ting carbon emission,carbon emission model based on proportional sharing was introduced into evaluation on power grid car-bon emission. On premise of economy and security,index of total carbon emission rate of network loss was introduced to es-tablish the optimization model for power grid carbon emission based on quantum genetic algorithm(QGA). This model re-garded objective function value as evaluation basis for individual fitness and could adjust action by quantum rotating gate. Fi-nally,it was able to select optimal individual and relevant target value. Simulation example of IEEE 39 node indicates that QGA is preferably feasible to solve problems about evaluation and optimization on power grid carbon emission. In addition, QGA is provided with better adaptability compared with traditional genetic algorithm.关键词
比例分享/碳排放优化/量子遗传算法/遗传算法Key words
proportional share/carbon emission optimization/quantum genetic algorithm/genetic algorithm分类
信息技术与安全科学引用本文复制引用
孔灿,郑理民,黄琳妮,张孝顺,余涛..基于量子遗传算法的电网碳排放优化模型[J].广东电力,2015,(2):45-49,5.基金项目
国家自然科学基金项目(51177051,51477055) （51177051,51477055）
