A Calculation Method of Probabilistic Energy Flow in Integrated Energy System
A technology of an integrated energy system and a calculation method, which is applied in the field of probabilistic energy flow calculation of an integrated energy system, can solve the problems of the uncertainty of the new energy power system, the uncertainty of the integrated energy system, the fluctuation of the gas network load, etc. The effect of solving accuracy and calculation efficiency, reducing calculation complexity and amount of calculation, and reducing calculation error
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Embodiment 1
[0275] The comprehensive energy system of the calculation example of the present invention is as figure 1 As shown, the wind speed of the wind power system satisfies the Weibull distribution, and the light intensity of the solar system satisfies the Beta distribution. Assume that the wind speed is a normal wind speed (8.5m / s), and the gas grid load 3 is a fluctuating load, which satisfies a normal distribution. The wind speed distribution, power generation function, and photovoltaic light intensity satisfy the following relationship:
[0276]
[0277]
[0278] f(x)=20(x) 2 (1-x)0≤x≤1
[0279] Use Nataf transformation to add correlation to the sample, image 3 It is the distribution map between samples after Nataf transformation. From image 3 In (a), it can be seen that the correlation between fan 1 and fan 2 is 0.32, that is, ρ 12 =0.32, it can be seen from Figure (b) that the correlation between fan 1 and fan 3 is 0.45, that is, ρ 13 =0.45, as can be seen from Figu...
Embodiment 2
[0288] The comprehensive energy system of the calculation example of the present invention is still as figure 1 As shown, the wind speed of the wind power system satisfies the Weibull distribution, and the light intensity of the solar system satisfies the Beta distribution. At this time, the weather is in a windless state, the wind speed is abnormal (7.14m / s), and the air network load 3 is a fluctuating load. Satisfying the normal distribution, the wind speed distribution of the wind power system, the power generation function, and the photovoltaic light intensity satisfy the following relationship:
[0289]
[0290]
[0291] f(x)=20(x) 2 (1-x)0≤x≤1
[0292] Through the simulation calculation, the multi-point estimation results can be obtained as Figure 7 shown, from Figure 7 In (a), (b), (c), and (d), it can be seen that the 2-point estimation and the 3-point estimation have relatively low accuracy due to the existence of estimated points that exceed constraints. T...
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