计及碳排放权交易的风电储能协同调度优化模型  

Collaborative Scheduling Optimization Model of Wind Power and Energy Storage System Considering the Carbon Emission Trade

作　　者：雷涛[1] 鞠立伟[1] 彭道鑫 秦超[1] 董安有[1] 谭忠富[1] 

机构地区：[1]华北电力大学能源经济与环境研究所,北京102206

出　　处：《华北电力大学学报（自然科学版）》2015年第3期97-104,共8页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家自然科学基金资助项目(71071053;71273090)

摘　　要：为了缓解风电出力的随机性和间歇性对电网安全稳定运行产生的影响,提升电力系统的风电消纳能力,基于传统风火电节能调度优化模型,引入碳排放权交易和储能系统,构建了碳交易、储能系统及两者共同参与下的系统风电消纳优化模型。以10台火电机组和2 800 MW的风电场构成模拟仿真系统,分析碳交易和储能系统对系统消纳风电的影响。算例分析显示,碳交易的引入能够提升具有清洁特性的风电并网电量,减少系统发电煤耗;储能系统的引入有利于平缓风电输出功率,抑制功率波动幅度;同时引入碳交易和储能系统对提升电力系统风电消纳能力的优化效果达到最佳。In order to alleviate the effect of randomness and intermittent of wind power output on the safe and stable operation of the power grid and improve the system consumptive wind power capacity, this paper introduces carbon emissions trading and energy storage systems. Based on the energy generation scheduling optimization model of wind power and thermal power, it also constructs the collaborative scheduling optimization model of wind power and energy storage system. The data were collected from the simulation systems consisting of 10 thermal powers and 2800MW wind farms constitute simulation systems. After the analysis of the impacts of carbon trading and energy storage systems on the system wind power consumptive capacity, the results show that the introduction of carbon trading can increase the wind power capacity and reduce coal consumption systems; the introduction of the energy storage system can gentle the wind power output, and suppress power fluctuations; system optimization results achieve the best when carbon trading and energy storage systems have been introduced at the same time.

关 键 词：碳排放权 储能系统 风电 协同调度 模型 

分 类 号：TM614[电气工程—电力系统及自动化]