A CompactMILP Model for Short-Term Peak Shaving of Cascaded Hydropower Plants ConsideringUnitCommitment

被引：0
|
作者：
Su C. [1 ]
Wang P. [2 ]
Wu X. [1 ]
Cheng C. [1 ]
Wang J. [3 ]
机构：
[1] Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian, 116024, Liaoning Province
[2] Yellow River Conservancy Technical Institute, Kaifeng, 475004, Henan Province
[3] Electric Power Research Institute of China Southern Power Grid, Guangzhou, 510080, Guangdong Province
来源：
Wu, Xinyu (wuxinyu@dlut.edu.cn) | 1883年 / Power System Technology Press卷 / 42期
基金：
中国国家自然科学基金;
关键词：
Cascaded hydropower plants; Mixed integer linear programming; Peak shaving; Unit commitment;
D O I：
10.13335/j.1000-3673.pst.2017.2917
中图分类号：
学科分类号：
摘要：
To relievegrowingpeakingregulationpressureonpower gird and meet complex demand for scheduling of grid-connected units, this paper formulates a short-term peak shaving model for cascaded hydropower plants, taking operation status of units into account. In this model, hydropower units are taken as basic dispatching unit and minimizing maximum residual load of power grid is adopted as objective. And hydraulic constraints, power system security constraints, unit operation constraints and water head effect on power generation of individual unit are all taken into account to obtain precise scheduling. With linearization of nonlinear objective, constraints related to water head, restricted operating zone constraint and unit performance curves, the developed model conforms to standard mixed integer linear programming (MILP) formulation. Then the model is solved with LINGO, a commercial optimization software package. Thecompact MILPmodel is applied to the short-term operation of four cascaded hydropower plants located in Wujiang River. Results demonstrate that the proposed model has a significant effect on peak shaving and high efficiency in computation. © 2018, Power System Technology Press. All right reserved.
引用
收藏
页码：1883 / 1891
页数：8
相关论文
共 23 条
  • [1] Ding N., Duan J., Xue S., Et al., Overall review of peaking power in China: Status quo, barriers and solutions, Renewable & Sustainable Energy Reviews, 42, pp. 503-516, (2015)
  • [2] Cheng C., Wu X., Shen J., Et al., Short-term optimal operation methods of large-scale hydropower plants I. General overview, Journal of Hydraulic Engineering, 42, 9, pp. 1011-1024, (2011)
  • [3] Zhou J., Wu W., Lu P., Et al., Short-term peak shaving of cascade hydropower stations in response to power grid load, Journal of Hydroelectric Engineering, 35, 6, pp. 1-10, (2016)
  • [4] Wang J., Fan X., Zhang Y., Et al., Short-term generation scheduling for the peak-energy maximization of large-scale hydropower systems, Automation of Electric Power Systems, 27, 15, pp. 29-34, (2003)
  • [5] Shen J., Cheng C., Li W., Et al., A mutative-scale optimization method for short-term operation of hydropower plants with complex temporal coupling constraints, Proceedings of the CSEE, 34, 1, pp. 87-95, (2014)
  • [6] Wang J., Liu S., Zhang Y., Quarter-hourly operation of large-scale hydropower reservoir systems with prioritized constraints, Journal of Water Resources Planning & Management, 141, 1, (2014)
  • [7] Wu X.Y., Cheng C.T., Shen J.J., Et al., A multi-objective short term hydropower scheduling model for peak shaving, International Journal of Electrical Power & Energy Systems, 68, pp. 278-293, (2015)
  • [8] Lu P., Zhou J., Mo L., Et al., Method of peak operation and electric power inter-provincial coordinated distribution for cascade hydropower plants among multiple power grids, Power System Technology, 40, 9, pp. 2721-2728, (2016)
  • [9] Liu F., Zhang L., Double Layer Optimal Scheduling of Cascade Hydropower Considering Day-Ahead Peak Distribution and Flow Pulsation Stabilization, Power System Technology, 41, 3, pp. 799-807, (2017)
  • [10] Shen J., Cheng C., Wu X., Et al., Optimization of peak loads among multiple provincial power grids under a central dispatching authority, Energy, 74, 5, pp. 494-505, (2014)
123