基于最小偏差法的全球能源优化配置方法

Optimal allocation of global energy based on minimum deviation method

全球能源互联网旨在构建以清洁能源为主、电力为中心,全球范围优化配置资源的世界能源发展新格局,是实现未来社会经济可持续发展的强力支撑。对全球能源互联背景下的能源配置问题进行研究,以最小化能源成本和传输损耗为目标函数,以运输系统容量、能源供给量和能源需求量为约束条件,构建多目标优化模型。为减少主观性对多目标优化的影响,运用最小偏差法转化为单目标优化模型,并采用GAMS软件求解。算例分析表明,电能替代化石能源能有效降低用能总成本。对比分析洲际电网互联下的优化配置方案,并分析了其关于环境效益的灵敏度。

Global energy interconnection dedicated to form a new pattern of world energy development in which clean energy plays dominating role,the electric power was the center and the energy resources are optimally allocated worldwide.It will become the strong support to achieve sustainable development of society and economy in the future. To study the energy allocation in the background of global energy interconnection,a multi-objective optimization model was established. In this model,minimizing energy cost and minimizing transmission loss were objectives. Restrictions included energy supply,energy demand and capacity of transmission system. In order to reduce the influence of subjectivity on multi-objective optimization,the model was transformed into single-objective optimization model based on minimum deviation method and solved by GAMS software. The case study showed that electricity replacement could effectively reduce total energy cost. Based on this,the optimal allocation scheme of global energy under transcontinental grids was compared and analyzed,and its sensitivity on environmental benefits was discussed.