Power system PMU optimal configuration method

Abstract

The invention discloses a power system PMUC optimal configuration method. Optimal configuration of PMUs in a power system is divided into two stages, wherein in the first stage, achieving the lowest number of installed PMUs and complete observability of the system is regarded as an objective; in the second stage, on the basis of an existing configuration result, the PMUs continue to be installed so as to guarantee that the system is still completely observable when a circuit N-1 breaks down. According to the method, an improved adaptive genetic algorithm is further optimized, the defect of evolution stagnation generated when a group maximum fitness value is equal to a mean fitness value, the evolution process is optimized, and meanwhile mathematical calculation is facilitated; premature prevention operation is conducted on individuals in each generation, and evolution prematurity caused by contingency and randomness of crossover operation and variation operation is eliminated. Configuration of the PMUs in the power system under the normal condition and under the condition that the circuit N-1 breaks down can be accurately acquired, and economical efficiency and complete observability of the system are taken into consideration.

Description

technical field [0001] The invention relates to an optimized configuration method of a power system phasor measurement unit (PMU) based on an improved self-adaptive genetic algorithm, which belongs to the technical field of power transmission. Background technique [0002] The phasor measurement unit (PMU for short) can not only accurately measure the node voltage phasor and branch current phasor, but also monitor the bus voltage and generator power angle in real time. Transient stability control and so on are of great significance. [0003] Configuring PMUs on all buses in the entire network can greatly improve the monitoring level of the power system. However, due to the high price of PMUs and the fact that the actual grid operation conditions limit the installation location of PMUs, it is not currently possible to configure PMUs on all buses. How to make the power system fully observable with the least number of PMUs is of inestimable importance. At the same time, the P...

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Problems solved by technology

[0004] It is a very effective method to use the genetic algorithm to optimize the configuration of the power system PMU, but the current genetic algorithm has the disadvantages of being premature and easy to fall into the local optimal solution, and the line N-1 fault condition is rarely considered in the configuration process Whether the lower system is completely observable, so it is necessary to develop a more effective method

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