• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2020, Vol. 41 ›› Issue (9): 39-49.doi: 10.12204/j.issn.1000-7229.2020.09.005

• 新能源发电 • 上一篇    下一篇

考虑日内来水不确定和电网断面约束的梯级水电日前调度

马宇航1, 黄媛1, 刘俊勇1, 路亮2   

  1. 1.四川大学电气工程学院, 成都市 610065
    2.国家电网有限公司西南分部,成都市 610041
  • 收稿日期:2019-12-30 出版日期:2020-09-01 发布日期:2020-09-03
  • 通讯作者: 黄媛
  • 作者简介:马宇航(1996),男,硕士研究生,主要研究方向为电力系统优化运行;|刘俊勇(1963),男,博士,教授,主要研究方向为电力系统分析及电力市场等;|路亮(1984),男,硕士,工程师,主要研究方向为电网规划与运行控制。
  • 基金资助:
    国家重点研发计划项目“分布式光伏与梯级小水电互补联合发电技术研究及应用示范”(2018YFB0905200)

Day-ahead Dispatching of Cascade Hydropower Stations Considering Daily Interval Flow Uncertainty and the Section Constraint of Power Grid

MA Yuhang1, HUANG Yuan1, LIU Junyong1, LU Liang2   

  1. 1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
    2. Southwest China Branch, State Grid Corporation of China, Chengdu 610041, China
  • Received:2019-12-30 Online:2020-09-01 Published:2020-09-03
  • Contact: HUANG Yuan
  • Supported by:
    National Key Research and Development Program of China(2018YFB0905200)

摘要:

日内来水的不确定性和传输通道断面约束是影响大容量梯级水电日前调度计划制定的重要因素。为提高日前调度对不同来水情景的适应性,首先在日均径流预测基础上,结合历史数据分析与概率分布拟合获取日内来水量的概率密度函数,通过准确刻画各时段来水规律,建立不同情景下的梯级发电量偏差来反映各时刻来水的不确定性。其次,在模型断面约束中引入模糊变量,并通过离线仿真将断面约束转化为发电机有功出力约束。针对含梯级电站发电量偏差的日前优化调度模型,采用多核并行动态规划算法进行求解,保证求解的收敛性及求解效率。最后,以西南地区某梯级水电站接入IEEE 39节点系统为例,验证了所提算法的合理性和可行性,所得调度计划在4种典型来水场景下均未出现水位及断面功率越限。

关键词: 梯级水电, 不确定性, 模糊机会约束, 动态规划

Abstract:

The uncertainties of daily interval flow and the restriction of the transmission section are important factors that affect the day-ahead dispatching plan of large-capacity cascade hydropower stations. In order to improve the adaptability of the daily dispatching to different inflow scenarios, the probability density function of daily interval flow is obtained on the basis of the forecast daily average interval flow firstly, combining historical data analysis and probability distribution fitting. Through accurately describing the rule of interval flow in each period, the deviation of cascade power generation under different scenarios is established to reflect the uncertainty of the interval flow at each period. Secondly, fuzzy variables are established to express the complex section constraint relationship in the day-ahead dispatching, and the section constraint is converted to the generator’s active power constraint through off-line simulation. The multi-core parallel dynamic programming algorithm is adopted to solve the day-ahead dispatching model to ensure the convergence and efficiency of the solution. Finally, the rationality and feasibility of the proposed algorithm are verified through the example of cascade hydropower stations in southwest China connected to IEEE 39-node system, and the water level and transmission section power are not out of limits in the four typical inflow scenarios.

Key words: cascade hydropower, uncertainty, fuzzy chance constraint, dynamic programming

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