电网技术Issue(1)：215-222,8.DOI:10.13335/j.1000-3673.pst.2015.01.033
含随机风电的大规模多目标机组组合问题的向量序优化方法
A Vector Ordinal Optimization Method for Large-Scale Multi-Objective Unit Commitment Considering Stochastic Wind Power Generation
摘要
Abstract
Vector ordinal optimization is a new and effective method to solve multi-objective optimization problems with heavy calculation burden. Taking the coal consumption, the power purchase cost and the emission of SO2 as optimization objectives, the vector ordinal optimization theory is led in to solve the multi-objective unit commitment the first time while the large-scale stochastic wind power generation is taken into account. Taking a certain provincial power grid containing large-scale wind farm and such complex energy sources as hydropower, thermal power, nuclear power, gas turbines and biomass energy for example, the optimization results obtained by the proposed algorithm are compared with those obtained by GAMS-BARON solver based mixed integer nonlinear programming (MINLP), and comparison results show that the solution speed of the proposed algorithm is much faster than traditional MINLP method and there is very small deviation in the optimization results, thus, the effectiveness of adopting vector ordinal optimization method to solve large-scale multi-objective unit commitment, in which the stochastic wind power generation is taken into account, is validated.关键词
随机风电/多目标机组组合/向量序优化/足够好解/场景法/BP神经网络Key words
stochastic wind power generation/multi- objective unit commitment/vector ordinal optimization (VOO)/good enough designs/scenarios method/back propagation neural network分类
信息技术与安全科学引用本文复制引用
谢敏,闫圆圆,刘明波,赵文猛..含随机风电的大规模多目标机组组合问题的向量序优化方法[J].电网技术,2015,(1):215-222,8.基金项目
国家重点基础研究发展计划项目(973项目)(2013CB228205)；国家自然科学基金青年科学基金项目(50907023)。The National Basic Research Program of China (973 Program)(2013CB228205)；National Natural Science Foundation of China (NSFC)(50907023)． （973项目）
