摘要
为解决数据中心微电网前期容量规划不合理,无法适应数据中心运行特性的问题,同时为提高数据中心微电网的供电经济性和可再生能源消纳能力,文中提出了计及负载特性的数据中心微电网容量双层优化配置模型。使用基于场景缩减的选择方法应对可再生能源出力的不确定性,同时解决大量场景带来的计算复杂性问题。根据不同负载的特性,考虑其时间维度上的灵活性,制定相应的负载分配策略。采用带有精英策略的非支配排序遗传算法(non-dominated sorting genetic algorithmⅡ,NSGA-Ⅱ)与Gurobi结合的方式进行求解,最后利用模糊多属性决策方法获得折衷最优解,合理规划微电网内储能系统、光伏和风机的容量。算例表明,所提方法降低了数据中心微电网建设与运行成本,减少了碳排放,提高了数据中心运营商的满意度。
The problem that the early capacity planning of microgrid in data center is unreasonable and cannot adapt to the operation characteristics of data center has not been solved.At the same time,in order to improve the power supply economy and renewable energy consumption capacity of the microgrid in data center,a bi-level optimal configuration model of the microgrid capacity in data center taking into account the load characteristics is proposed in this paper.Scenario reduction-based selection method is used to deal with the uncertainty of renewable energy and the computational complexity caused by a large number of scenarios.The corresponding load scheduling strategies are proposed according to the characteristics of different loads together with their flexibility.The problem of capacity planning for different microgrid resources,including energy storage system,photovoltaic and wind turbine,is solved by using non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)and Gurobi.Finally,the conpromise optimal soulation is obtained by the fuzzy multi-attribute decision-making approach.The simulation results show that the proposed approach can reduce the construction costs,operation costs and carbon emissions of data center microgrids.Besides,the satisfaction of data center operators is improved.
作者
李彬
杜亚彬
曹望璋
祁兵
陈宋宋
LI Bin;DU Yabin;CAO Wangzhang;QI Bing;CHEN Songsong(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;China Electric Power Research Institute,Beijing 100192,China)
出处
《电力工程技术》
北大核心
2023年第2期75-83,共9页
Electric Power Engineering Technology
基金
国家自然科学基金资助项目(52177082)
国家电网有限公司总部科技项目(5700-202258216A-1-1-ZN)。
关键词
数据中心微电网
可再生能源
负载特性
双层优化
折衷最优解
场景缩减法
data center microgrid
renewable energy
load characteristics
bi-level optimization
compromise optimal solution
scenario reduction
