
为了使综合能源系统各设备容量配置更合理,并提高含数据中心的综合能源系统供电经济性和风光能源的消纳率,提出了双层容量优化配置模型。针对风光的不确定性和相关性问题,基于核密度估计和Copula理论生成风光出力场景,并聚类得到典型场景日。考虑数据中心负荷的灵活性,根据分时电价和风光出力特性,对批量负荷进行限时平移。采用非支配排序遗传算法与Cplex求解器结合的方式迭代计算,最后利用Topsis算法获得最优解,实现了氢储能、电力和热力子系统各设备容量合理规划。算例分析和仿真结果表明,利用所提出的方法实施配置可降低系统的总成本和碳排放,模型正确有效。
周建力.风-光-氢综合能源系统容量配置优化及决策模型研究[D].华北电力大学(北京),2022(03).
Kasra Ghobadi,Ashraf Ali Khan.Optimal robust collaborative management of multiple EHs in power systems by utilizing the game theory[J].Electric Power Systems Research,2024.
State Key Laboratory of Power Transmission Equipment and System Security, Chongqing University, China,State Key Laboratory of Power Transmission Equipment and System Security, Chongqing University, China,State Key Laboratory of Power Transmission Equipment and System Security, Chongqing University, China,State Key Laboratory of Power Transmission Equipment and System Security, Chongqing University, China,State Grid Corporation of China, Beijing 100031, China,State Key Laboratory of Power Transmission Equipment and System Security, Chongqing University, China.Spacial coordination between data centers and power system considering uncertainties of both source and load sides[J].International Journal of Electrical Power and Energy Systems,2021.
Guo Caishan,Luo Fengji,Cai Zexiang,Dong Zhao Yang,Zhang Rui.Integrated planning of internet data centers and battery energy storage systems in smart grids[J].Applied Energy,2021.
SeyedMorteza MirhoseiniNejad,Hosein Moazamigoodarzi,Ghada Badawy,Douglas G. Down.Joint data center cooling and workload management: A thermal-aware approach[J].Future Generation Computer Systems,2020.
Soongeol Kwon,Lewis Ntaimo,Natarajan Gautam.Demand Response in Data Centers: Integration of Server Provisioning and Power Procurement.[J].IEEE Trans. Smart Grid,2019.
Shahab Bahrami,Vincent W. S. Wong,Jianwei Huang.Data Center Demand Response in Deregulated Electricity Markets.[J].IEEE Trans. Smart Grid,2019.
Ali Vafamehr,Mohammad E. Khodayar,Saeed D. Manshadi,Ishfaq Ahmad,Jeremy Lin.A Framework for Expansion Planning of Data Centers in Electricity and Data Networks Under Uncertainty.[J].IEEE Trans. Smart Grid,2019.
Ding Zhaohao,Xie Liye,Lu Ying,Wang Peng,Xia Shiwei.Emission-Aware Stochastic Resource Planning Scheme for Data Center Microgrid Considering Batch Workload Scheduling and Risk Management[J].IEEE Transactions on Industry Applications,2018.
Guo Yuanxiong,Li Hongning,Pan Miao.Colocation Data Center Demand Response Using Nash Bargaining Theory[J].IEEE Transactions on Smart Grid,2018.
Yu Liang,Jiang Tao,Zou Yulong.Distributed Real-Time Energy Management in Data Center Microgrids[J].IEEE Transactions on Smart Grid,2018.
Zhiguang He,Tao Ding,Yu Liu,Zhen Li.Analysis of a district heating system using waste heat in a distributed cooling data center[J].Applied Thermal Engineering,2018.
Sun, Qihang,Wu, Chuan,Li, Zongpeng,Ren, Shaolei.Colocation Demand Response: Joint Online Mechanisms for Individual Utility and Social Welfare Maximization[J].IEEE Journal on Selected Areas in Communications,2016.
Jie Li,Zhen Bao,Zuyi Li.Modeling Demand Response Capability by Internet Data Centers Processing Batch Computing Jobs.[J].IEEE Trans. Smart Grid,2015.
王博,郭焱华,邵双全,涂虬,李千里.数据中心冷却系统相关能效评价指标综述[J].制冷学报,2023(02).
李彬,杜亚彬,曹望璋,祁兵,陈宋宋.计及负载特性的数据中心微电网双层优化配置[J].电力工程技术,2023(02).
马浩天,胡俊杰,童宇轩.考虑灵活性的数据中心微网两阶段鲁棒规划方法[J].中国电机工程学报,2023(19).
兰洲,蒋晨威,谷纪亭,文福拴,杨侃,王坤.促进可再生能源发电消纳和碳减排的数据中心优化调度与需求响应策略[J].电力建设,2022(04).
杨挺,姜含,侯昱丞,耿毅男.基于计算负荷时–空双维迁移的互联多数据中心碳中和调控方法研究[J].中国电机工程学报,2022(01).
丁肇豪,曹雨洁,张素芳,王鹏,刘吉臻,程明,毛宏举.能源互联网背景下数据中心与电力系统协同优化(一):数据中心能耗模型[J].中国电机工程学报,2022(09).
吕佳炜,张沈习,程浩忠,李珂,原凯,宋毅,杜炜,方斯顿.集成数据中心的综合能源系统能量流–数据流协同规划综述及展望[J].中国电机工程学报,2021(16).
吕佳炜,张沈习,程浩忠,韩丰,原凯,宋毅,方斯顿.考虑互联互动的区域综合能源系统规划研究综述[J].中国电机工程学报,2021(12).
王丹,孟政吉,贾宏杰,李敬如,于建成,张子阳.面向新型城镇的能源互联系统规划关键技术研究及展望[J].电力系统自动化,2019(14).
陈庆.数据中心能耗指标PUE解析[J].中国金融电脑,2019(04).
陈敏,高赐威,陈宋宋,李德智,刘强.考虑数据中心用电负荷调节潜力的双层经济调度模型[J].中国电机工程学报,2019(05).
王伟亮,王丹,贾宏杰,陈沼宇,郭炳庆,周海明,范孟华.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016(12).
0
浏览量
422
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621