电力系统自动化2017，Vol.41Issue(21)：70-78,9.DOI:10.7500/AEPS20161207007
基于LCC的风火电打捆发电系统多阶段优化规划模型
LCC Based Multi-period Optimal Planning Model of Bundled Wind-Thermal Generation System
摘要
Abstract
The bundled wind-thermal generation system(BWTGS)is an effective way to transmit and accommodate large-scale wind power remotely that requires a long planning cycle.As the wind power plant usually goes into operation by stages,the existing BWTGS planning model is rendered inapplicable.A life cycle cost(LCC)based multi-period optimal planning model of BWTGS is proposed to maximize the total benefits.The benefit of trading electric energy,the fuel cost,the environment cost, the maintenance cost,the reliability cost,the capital cost and the depreciated values of thermal generating units are taken into account.The wind power sequential probabilistic model is developed to represent the sequential and stochastic nature of wind power.The costs are calculated by the probabilistic production simulation method.The multi-population parallel genetic algorithm is employed to solve the model and numerical test to verify the effectiveness of the proposed method.关键词
风火电打捆/多阶段规划/全寿命周期成本(LCC)/并行计算/遗传算法Key words
bundled wind-thermal/multi-period optimal planning/life cycle cost(LCC)/parallel computing/genetic algorithm引用本文复制引用
马英浩,谢开贵,杨贺钧,董吉哲..基于LCC的风火电打捆发电系统多阶段优化规划模型[J].电力系统自动化,2017,41(21):70-78,9.基金项目
国家自然科学基金资助项目(51377178) （51377178）
重庆市研究生科研创新项目(CYB15035).This work is supported by National Natural Science Foundation of China (No.51377178) and Chongqing University Postgraduates' Innovation Project(No.CYB15035). （CYB15035）
