MILP Model for Short-Term Hydro Scheduling with Head-Sensitive Prohibited Operating Zones

被引:0
|
作者
Wang, Jiayang [1 ]
Liao, Shengli [1 ]
Cheng, Chuntian [1 ]
Liu, Benxi [1 ]
机构
[1] Dalian Univ Technol, Inst Hydroinformat, Dalian 116024, Peoples R China
基金
中国博士后科学基金;
关键词
short-term hydro scheduling; prohibited operating zones; head effect; peak shaving; mixed-integer linear programming; ECONOMIC-DISPATCH; SYSTEMS;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Head-sensitive prohibited operating zones are a critical challenge for short-term scheduling of cascaded hydropower plants for peak shaving. These prohibited operating zones add discrete characters to the nonlinear hydropower scheduling problem, making it tough to handle. This paper establishes a mixed-integer linear programming (MILP) model for short-term hydro scheduling with head-sensitive prohibited operating zones. The Min-Max objective function, plant performance curves and head-sensitive prohibited operating zones are mainly focused on. The Min-Max objective function is linearized via introducing linear combinations of constraints. The plant performance curves are linearized by a piecewise linear approximation. The avoidance of prohibited operating zones is incorporated into the linearization of plant performance curves so that head effect is captured. The case study of a two cascaded hydropower system is solved by LINGO. Numerical results show that the proposed MILP model is efficient and suitable for short-term hydropower optimal scheduling with prohibited operating zones for peak shaving.
引用
收藏
页码:500 / 510
页数:11
相关论文
共 50 条
  • [1] Hydro Unit Commitment With a Head-Sensitive Reservoir and Multiple Vibration Zones Using MILP
    Cheng, Chuntian
    Wang, Jiayang
    Wu, Xinyu
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (06) : 4842 - 4852
  • [2] An MILP approach for short-term hydro scheduling and unit commitment with head-dependent reservoir
    Borghetti, Alberto
    D'Ambrosio, Claudia
    Lodi, Andrea
    Martello, Silvano
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (03) : 1115 - 1124
  • [3] Short-term generation scheduling of cascade hydropower plants with strong hydraulic coupling and head-dependent prohibited operating zones
    Su, Chengguo
    Yuan, Wenlin
    Cheng, Chuntian
    Wang, Peilin
    Sun, Lifei
    Zhang, Taiheng
    [J]. JOURNAL OF HYDROLOGY, 2020, 591
  • [4] Scheduling of Head-Sensitive Cascaded Hydro Systems: A Nonlinear Approach
    Catalao, J. P. S.
    Mariano, S. J. P. S.
    Mendes, V. M. F.
    Ferreira, L. A. F. M.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (01) : 337 - 346
  • [5] Dynamic incorporation of nonlinearity into MILP formulation for short-term hydro scheduling
    Skjelbred, Hans Ivar
    Kong, Jiehong
    Fosso, Olav Bjarte
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 116
  • [6] PSO Based Short-Term Hydrothermal Scheduling with Prohibited Discharge Zones
    Sreenivasan, G.
    Saibabu, C. H.
    Sivanagaraju, S.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2011, 2 (09) : 97 - 105
  • [7] A Unit Commitment Algorithm and a Compact MILP Model for Short-Term Hydro-Power Generation Scheduling
    Guedes, Lucas S. M.
    Maia, Pedro de Mendonca
    Lisboa, Adriano Chaves
    Gomes Vieira, Douglas Alexandre
    Saldanha, Rodney Rezende
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (05) : 3381 - 3390
  • [8] A hierarchical model in short-term hydro scheduling with unit commitment and head-dependency
    Cheng, Xianliang
    Feng, Suzhen
    Zheng, Hao
    Wang, Jinwen
    Liu, Shuangquan
    [J]. ENERGY, 2022, 251
  • [9] MILP based short-term centralized and decentralized scheduling of a hydro-chain on Kelkit River
    Yildiran, Ugur
    Kayahan, Ismail
    Tunc, Murat
    Sisbot, Sedat
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 69 : 1 - 8
  • [10] Aggregated Hydro Unit Based Model for Short-term Hydro Generation Scheduling
    Zhai, Qiaozhu
    Xiao, Xun
    Li, Xuan
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 4454 - 4459