Fast decoupled flow calculation method for power systems

Abstract

The invention discloses a fast decoupled flow calculation method for power systems, which comprises the following steps of: inputting original data and initializing voltage; forming an admittance matrix; forming correction equation coefficient matrixes B' and B'' and performing factor table decomposition; performing P-theta iteration, and correcting a voltage phase angle; performing Q-V iteration, and correcting voltage amplitude; judging whether the iteration is converged; and calculating node power and branch power. The method requires that the P-theta iteration and the Q-V iteration are all converged in the same iteration and the iteration process is finished, so that the algorithm frame is simpler, and the flow is clearer. The sparse matrix technology is not adopted, so the matrix elements are convenient to access and calculate, and the programming is simple; the correction equation coefficient matrixes are stored according to n order, number change of nodes is avoided, and the programming difficulty is reduced; and the calculation amount is reduced through reasonable logic judgment, the calculation speed is obviously improved and the requirement of scientific research can be completely met. The fast decoupled flow calculation method also can process power systems with a plurality of balance nodes.

Description

technical field [0001] The invention relates to a power system power flow calculation method, in particular to a power system fast decomposition method power flow calculation method. Background technique [0002] Power flow calculation is the most basic calculation item of power system, and it is also the basis of other analysis items of power system such as static safety analysis. The fast decomposition method power flow calculation method is currently the most commonly used and fastest power flow calculation method. This method uses advanced technologies such as sparse matrix technology and node optimization numbering. The main process is as follows: [0003] A. Raw data input and voltage initialization; [0004] The original data of the power flow calculation mainly include the number of nodes, the number of branches, the maximum number of iterations, and the convergence accuracy; branch parameter data, including the resistance, reactance, susceptance to ground of the tr...

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Problems solved by technology

[0055] If the sparse matrix technology is not used, the speed is very slow; in addition, B′ does not include the rows and columns related to the balance node, and is an (n-1) order square matrix; B″ only includes the rows and columns related to the PQ node, and is an m order square matrix matrix; the order of B′ and B″ are different from the order of the admittance matrix, and they do not correspond to the node numbers. When programming, the number needs to be changed, which increases the complexity of the program and increases the difficulty of modification and maintenance. , can not meet the requirements of researchers

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