Day-ahead scheduling optimization method for micro-energy network with electricity-heat-gas combined supply
An optimization method and micro-energy technology, applied in resources, instruments, data processing applications, etc., can solve problems such as increased cost, inaccurate prediction of prediction technology, and low utilization rate of micro-energy grids
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[0067] Such as figure 1 and figure 2 As shown, a day-ahead scheduling optimization method for a micro-energy grid with cogeneration of electricity, heat and gas includes the following steps:
[0068] (S1) Establish a two-layer robust optimization scheduling model;
[0069]
[0070] Among them, d T x represents the outer objective function, (e T y+f T u) represents the minimization objective function of the inner layer based on x, y represents the optimization variable of the inner layer of the model, u represents the uncertain variable, and D, F, G, I u Represents the coefficient matrix of the correlation constraints, and g and h represent the column vectors of the correlation constraints.
[0071] The inner layer of the above-mentioned double-layer optimization model includes the minimization problem of the uncertain quantity u, which is further processed by the robust optimization method, and the following double-layer robust model can be obtained:
[0072]
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