A method and device for establishing an optimal scheduling model of a unit
A technology for optimizing scheduling and establishing methods, applied in the direction of circuit device, design optimization/simulation, CAD based on constraints, etc., can solve the problem that the robustness and economy of the power system cannot be objectively adjusted, and achieve the improvement of system operation economy, The effect of balancing robustness and economy, good robustness and economy
Active Publication Date: 2022-06-17
GUANGXI UNIV
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[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a method and device for establishing an optimal dispatching model of a unit, aiming at solving the problem that only random energy output fluctuations can be considered in the current optimal dispatching of units considering stochastic energy uncertainty. In extreme cases, it is impossible to objectively adjust the robustness and economy of power system operation
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[0200] In order to reduce the conservatism of limit robust optimization and take into account the economics of power system operation, the paper "Research on the optimization method of power system operation with large-scale wind farms" applies Seng-Cheol Kang robust optimization to power system unit scheduling. However, the Seng-Cheol Kang robust optimization model can only consider the limit case of each uncertain variable, and cannot consider the general situation inside the fluctuation interval of the uncertain variable.
[0201] However, the present invention considers in detail the limit situation and general situation when random energy output fluctuates, divides the traditional robust interval, and performs robust optimization based on random energy output fluctuation sub-intervals. The constructed sub-interval effectively reduces the conservatism of traditional robust optimization methods, and is more conducive to finding the balance between robustness and economy of r...
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The invention discloses a method and device for establishing an optimal scheduling model of a unit, which belongs to the field of scheduling of new energy units. The establishment method includes: constructing a stochastic energy output fluctuation sub-interval based on an interval segmented robust optimization method; using historical stochastic energy For the predicted output data and actual output data of the station, set the robust optimization parameters for each sub-interval segment; use the segmental robust optimization parameters for each sub-interval, take the minimum combustion cost and start-stop cost of the thermal power unit as the objective function, and combine the constraint conditions , to establish an optimal scheduling model for units. The invention can better balance the robustness and economy of power system operation while considering the random energy fluctuation in the sub-interval. Simultaneously, the present invention adopts historical sample probability information to carry out the method for subinterval segmental robust optimization parameter setting, the method only needs to set the segmental coefficient to determine the maximum value and minimum value of the number of uncertain variables in each subinterval, so that The optimization results are more objective.
Description
technical field [0001] The invention belongs to the field of dispatching of new energy generating units, and more particularly relates to a method and device for establishing an optimal dispatching model for generating units. Background technique [0002] At present, large-scale new energy grid connection has brought great challenges to the operation and dispatch of the power system. To study the power system unit combination model and method that can cope with the uncertainty of new energy power generation, the large-scale grid connection of new energy power generation and the guarantee The safe and stable operation of the power system is of great significance. There are two main methods for dealing with the randomness of stochastic energy, one is the method based on random energy power prediction, and the other is the method based on the optimization problem with uncertain variables. [0003] Stochastic programming is a method for solving optimization problems with uncert...
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IPC IPC(8): G06Q10/04G06Q10/06G06F30/20G06Q50/06H02J3/00H02J3/24H02J3/46G06F111/04
CPCY04S10/50
Inventor 黎静华徐逸夫
Owner GUANGXI UNIV