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

doi:10.12204/j.issn.1000-7229.2020.09.005

Abstract

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

CLC Number:

TM61

MA Yuhang, HUANG Yuan, LIU Junyong, LU Liang. Day-ahead Dispatching of Cascade Hydropower Stations Considering Daily Interval Flow Uncertainty and the Section Constraint of Power Grid[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(9): 39-49.

Figures/Tables 13

Fig.1 Process of parallel dynamic programming algorithm

Fig.2 Improved IEEE 39-node system

Fig.3 Range frequency distribution of cascade hydropower station

Fig.4 Result and error of section power fitting

Table 1 Different application scenarios and simulation results

Fig.5 Excess of output-load deviation in different scenarios

Fig.6 Excess of section active power in different scenarios

Fig.7 Average total hydroelectricity and cascade risk under different δ values

Fig.8 Average total hydroelectricity under different η values

Table 2 Computing efficiency of different number of CPU cores

TableB1 Parameters of cascade hydropower

Fig.B1 Facing load of cascade hydropower stations

Fig.B2 Fitting results of three probability distributions

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