Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system

被引:80
作者
Li, Rui [1 ]
Chen, Laijun [1 ]
Yuan, Tiejiang [2 ]
Li, Chunlai [3 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Xinjiang Univ, Dept Elect Engn, Urumqi 830046, Peoples R China
[3] Qinghai Elect Power Corp, Qinghai Elect Power Res Inst, Xining 810008, Peoples R China
基金
中国国家自然科学基金;
关键词
Zero-carbon-emission micro Energy Internet; Non-supplementary fired compressed air energy storage; District heating network; Power distribution network; DistFlow; Mixed integer linear programming; OPTIMAL POWER-FLOW; OPTIMAL OPERATION;
D O I
10.1007/s40565-016-0241-4
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To utilize heat and electricity in a clean and integrated manner, a zero-carbon-emission micro Energy Internet (ZCE-MEI) architecture is proposed by incorporating non-supplementary fired compressed air energy storage (NSF-CAES) hub. A typical ZCE-MEI combining power distribution network (PDN) and district heating network (DHN) with NSF-CAES is considered in this paper. NSF-CAES hub is formulated to take the thermal dynamic and pressure behavior into account to enhance dispatch flexibility. A modified DistFlow model is utilized to allow several discrete and continuous reactive power compensators to maintain voltage quality of PDN. Optimal operation of the ZCE-MEI is firstly modeled as a mixed integer nonlinear programming (MINLP). Several transformations and simplifications are taken to convert the problem as a mixed integer linear programming (MILP) which can be effectively solved by CPLEX. A typical test system composed of a NSF-CAES hub, a 33-bus PDN, and an 8-node DHN is adopted to verify the effectiveness of the proposed ZCE-MEI in terms of reducing operation cost and wind curtailment.
引用
收藏
页码:566 / 580
页数:15
相关论文
共 36 条
  • [1] Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)
    Abbaspour, M.
    Satkin, M.
    Mohammadi-Ivatloo, B.
    Lotfi, F. Hoseinzadeh
    Noorollahi, Y.
    [J]. RENEWABLE ENERGY, 2013, 51 : 53 - 59
  • [2] [Anonymous], 2016, Global Wind Report: Annual Market Update 2015
  • [3] Awad B., 2009, P 20 INT C EXHIBITIO, P4
  • [4] NETWORK RECONFIGURATION IN DISTRIBUTION-SYSTEMS FOR LOSS REDUCTION AND LOAD BALANCING
    BARAN, ME
    WU, FF
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 1989, 4 (02) : 1401 - 1407
  • [5] Brunekreeft G, 2015, REGULATORY PATHWAYS, P119
  • [6] A review on compressed air energy storage: Basic principles, past milestones and recent developments
    Budt, Marcus
    Wolf, Daniel
    Span, Roland
    Yan, Jinyue
    [J]. APPLIED ENERGY, 2016, 170 : 250 - 268
  • [7] Daneshi H, 2010, P 2010 IEEE PES TRAN
  • [8] The value of compressed air energy storage with wind in transmission-constrained electric power systems
    Denholm, Paul
    Sioshansi, Ramteen
    [J]. ENERGY POLICY, 2009, 37 (08) : 3149 - 3158
  • [9] Dielmann K., 2003, Proceedings of the 9th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists: Modern Techniques and Technologies (IEEE Cat. No.03EX629), P18, DOI 10.1109/SPCMTT.2003.1438108
  • [10] A Two-Stage Robust Reactive Power Optimization Considering Uncertain Wind Power Integration in Active Distribution Networks
    Ding, Tao
    Liu, Shiyu
    Yuan, Wei
    Bie, Zhaohong
    Zeng, Bo
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (01) : 301 - 311