Medium Term Subsection Robust Optimal Scheduling Method of Cascade Hydropower Stations Considering Timeshare Contract

被引:0
|
作者
Yang R. [1 ]
Li G. [1 ]
Lu J. [2 ]
机构
[1] Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Liaoning Province, Dalian
[2] China Yangtze Power Co., Ltd., Hubei Province, Yichang
基金
中国国家自然科学基金;
关键词
cascade hydropower stations; information gap decision theory; piecewise price; settlement of price difference; timeshare contract;
D O I
10.13334/j.0258-8013.pcsee.212548
中图分类号
学科分类号
摘要
The uncertainty of runoff and price are the main problems faced by cascade hydropower stations to participate in the power market. Medium and long term timeshare signing of contract electricity price increases the uncertainty of price and the complexity of subsection. Therefore, how to evaluate the risk of piecewise price uncertainty, determine the hydropower enterprises bidding strategy is to be solved urgently. In this paper, based on the transaction rules of Yunnan power market, a medium term section robust optimal scheduling method of cascade hydropower stations considering timeshare contract is proposed. First, a monthly time-sharing optimal operation model for cascade hydropower stations is established based on the settlement rules of contract for difference, and the basic revenue and daily electricity quantity are determined. Then, based on information gaps decision theory (IGDT) segmented price segmented robust model is established, the segmented robust optimization is carried out for each segment of the electricity price, with the goal of maximizing the sum of segmented electricity price fluctuation amplitude, solving the model and risk analysis. Finally, a case study of hydropower stations in the downstream of the Lancang River is carried out to verify the effectiveness of the proposed method. © 2023 Chinese Society for Electrical Engineering. All rights reserved.
引用
收藏
页码:1481 / 1491
页数:10
相关论文
共 25 条
  • [1] Notice of the national development and Reform Commission and the National Energy Administration on doing a good job in signing medium-and long-term power contracts in 2021
  • [2] LU Jia, LI Gang, CHENG Chuntian, Risk analysis method of cascade hydropower station operation in medium term under multi-scale market coupling and settlement rules[J], Proceedings of the CSEE, 41, 3, pp. 994-1003, (2021)
  • [3] KRISTIANSEN T., Pricing of contracts for difference in the nordic market[J], Energy Policy, 32, 9, pp. 1075-1085, (2004)
  • [4] LUO Ziya, JI Tianyao, JING Zhaoxia, Design and application of contract for difference in electricity market[J], Power System Technology, 43, 8, pp. 2743-2751, (2019)
  • [5] MA Li, WEN Fushuan, A preliminary investigation on bidding strategies employing step-wise bidding rules[J], Automation of Electric Power Systems, 26, 9, pp. 16-19, (2002)
  • [6] NI Biao, Analysis of bidding strategy and Research on bidding system in Zhejiang power generation market, (2004)
  • [7] WU Yonggang, GAO Ying, Case study of bidding strategy based on forecasted electricity market prices for hydropower plants[J], Transactions of China Electrotechnical Society, 19, 9, pp. 90-94, (2004)
  • [8] LI Anqiang, WANG Liping, MIAO Yiping, Stepwise bidding strategy for hydropower in ahead market[J], Engineering Journal of Wuhan University, 41, 1, pp. 116-120, (2008)
  • [9] MOISEEVA E, HESAMZADEH M R., Strategic bidding of a hydropower producer under uncertainty:modified benders approach[J], IEEE Transactions on Power Systems, 33, 1, pp. 861-873, (2018)
  • [10] FLETEN S E, KRISTOFFERSEN T K, Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer[J], European Journal of Operational Research, 181, 2, pp. 916-928, (2007)