Dynamic probability dispatching method for calculating system operation reliability

Abstract

The invention belongs to the field of electric power system dispatching, and particularly relates to a dynamic probability dispatching method for calculating system operation reliability. A new method based on Benders decomposition is provided for solving the large linear programming problem formed by probability dynamic dispatching. Aiming at the coupling relation among various operation states and according to the idea of decomposition coordination, the original problem is decomposed by the Benders decomposition technology so as to form an iterative solution format formed by a dynamic economic dispatching main problem in a normal operation state and an operation state adjustment sub-problem in an accident operation state; and the solution scale of each optimized calculation is reduced. By the method, the solution speed of problems is increased, and the effective solution of large-scale systems is realized.

Description

technical field [0001] The invention belongs to the field of electric power system dispatching, and in particular relates to a probability dynamic dispatching method considering the reliability of system operation. Background technique [0002] The active power dispatching of the power system is a multi-dimensional, multi-level, and complex system engineering operations research problem. Its characteristics and complexity determine that the decomposition and coordination optimization (or hierarchical optimization) method using the large system theory is to simplify the active power dispatching system. An effective way to design the process and improve the efficiency of the system operation. According to the time scale of active power scheduling, active power scheduling (short-term) can be divided into three components: day-ahead scheduling, dynamic scheduling (or advanced scheduling) and online scheduling (coordinating with control). Among them, dynamic dispatching is the c...

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Problems solved by technology

However, since this type of method does not take into account the random characteristics of component failures and the actual operation of the system, it is difficult to maintain the response risk of the system at a certain level, and the scheduling results are inevitably conservative or aggressive.

[0005] Compared with the deterministic backup configuration method, the probabilistic backup configuration method can quantitatively coordinate the economy and reliability of the system operation, which is relatively advanced in concept, but the complexity of the model and the difficulty of solving restrict the development of this type of method. Further development and application

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