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

作　　者：马英浩 谢开贵[1] 杨贺钧 董吉哲 

机构地区：[1]输配电装备及系统安全与新技术国家重点实验室,重庆大学,重庆市400044 [2]合肥工业大学电气与自动化工程学院,安徽省合肥市230009 [3]国网吉林省电力有限公司经济技术研究院,吉林省长春市130062

出　　处：《电力系统自动化》2017年第21期70-78,共9页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(51377178);重庆市研究生科研创新项目(CYB15035)~~

摘　　要：风火电打捆是解决大规模风电异地消纳的有效手段,而风火电打捆发电系统规划周期长,受资金限制,系统通常分多个阶段依次投产,常规打捆系统规划模型无法适用于该情形。鉴于此,提出一种基于全寿命周期成本(LCC)的风火电打捆发电系统多阶段优化规划模型。模型充分考虑发电机组的全寿命周期成本,以系统总收益最大为目标,考虑系统售电收益、燃料成本、环境成本、维护成本、可靠性成本、火电机组投资成本和机组折余价值。为更加合理地表征风能时序相关性和随机性,建立风能时序概率模型,并利用随机生产模拟技术计算系统的燃料成本、环境成本和可靠性成本。模型采用多种群并行进化遗传算法求解,通过算例分析证明了模型的有效性。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 

分 类 号：TM715[电气工程—电力系统及自动化]