Receiving end power grid unit combination method and system considering rotational inertia constraint
A combination technology of receiving power grid and unit, applied in the direction of constraint-based CAD, computer-aided design, electrical digital data processing, etc., can solve the problem of lack of in-depth research on dynamic frequency stability, achieve improved frequency stability, and fast calculation process effective effect
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Embodiment 1
[0069] like figure 1 As shown, the embodiment of the present disclosure provides a method for combining power grid units at the receiving end considering the constraint of the moment of inertia, including the following steps:
[0070] S01, obtain the original data of the receiving end power grid and the control parameters of the BPSO algorithm, and set t=0, the maximum number of iterations T and the population size n, where t is the number of iterative particles;
[0071] S02, form a feasible solution that satisfies the constraints of spinning reserve and start-up and downtime;
[0072] S03, under the feasible solution of preprocessing, dynamic economic scheduling is performed according to the effective set method of quadratic programming, and the clear equivalence class is used to process opportunity constraints, and the objective function is calculated at the same time;
[0073] S04, calculate the target formula, update the speed and position of the particle group, and gene...
Embodiment 2
[0179] like image 3 As shown, the embodiments of the present disclosure provide a receiving-end power grid unit combination system considering rotational inertia constraints, including:
[0180] The data acquisition module is configured to: acquire the original data of the receiving end power grid and the control parameters of the BPSO algorithm, and set t=0, the maximum number of iterations T and the population size n, where t is the number of iterative particles;
[0181] a preprocessing module configured to: preprocess to form a feasible solution that satisfies the spinning reserve constraints and the on-off time constraints;
[0182] The first calculation module is configured to: perform dynamic economic scheduling according to the effective set method of quadratic programming under the feasible solution of preprocessing, and use clear equivalence class to process opportunity constraints, and calculate the objective function at the same time;
[0183] The second calculat...
Embodiment 4
[0189] Embodiments of the present disclosure provide a storage medium on which a program is stored, and when the program is executed by a processor, implements the steps in the method for combining the power grid units at the receiving end considering rotational inertia constraints as provided by the foregoing embodiments, including:
[0190] S01, obtain the original data of the receiving end power grid and the control parameters of the BPSO algorithm, and set t=0, the maximum number of iterations T and the population size n, where t is the number of iterative particles;
[0191] S02, preprocessing, to form a feasible solution that satisfies the constraints of spinning reserve and start and stop time;
[0192] S03, under the feasible solution of preprocessing, dynamic economic scheduling is performed according to the effective set method of quadratic programming, and the clear equivalence class is used to process opportunity constraints, and the objective function is calculated a...
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