Flexible optimization scheduling method considering wind-solar and load uncertainty for comprehensive energy system
An integrated energy system, uncertainty technology, applied in the field of flexible optimal scheduling of integrated energy systems considering wind and load uncertainties, can solve unschedulable, cooling load, heating load and electric load uncertainties, large power generation prediction errors And other issues
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[0218] Taking the IEEE.15 node system as an example, such as figure 2 shown. Validate the effectiveness of the invention by carrying out numerical simulations on a large amount of data and scenarios. The integrated energy system includes DES / CHP unit, plug-in hybrid electric vehicle (PHEV), photovoltaic panel (PV), wind farm (PW) electric boiler and thermal energy storage device (TES). There is an exchange of cold and hot electric energy between each node.
[0219] Step 1: Scenario generation, the stochastic optimization expectation model with random variables can use the expected value model of convex stochastic optimization, as shown in formula (1-1).
[0220] The steps to generate a scene by Monte Carlo sampling are as follows:
[0221] ① Assuming that the random variable obeys a normal distribution, the value of the random variable is discretized into 7 intervals with 0 as the mean value. The width of each interval is the prediction error of the random variable, and ea...
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