A New Method for Allocation of Power Quality Monitoring Sites

This paper proposes a new method for allocation of power quality monitoring sites. Firstly, based on the existing monitoring data, the probability and statistics theory of guarantee overall statistical precision is employed to estimate the minimum number of monitoring sites, which is an important constraint of targets optimization. Secondly, according to the power quality control requirements and site conditions, optimizing targets components and constraints are clearly defined. The optimization target quantization system is constructed. On this basis, pareto solutions set is solved with efficient genetic algorithms. Finally, the most suitable solution is selected from the pareto solutions by dynamically setting the bias weight matrix. Through the analysis and calculation of a real regional power grid, the effectiveness of the algorithm is verified, which can meet the power quality control requirements of power grid planning, operation and maintenance, marketing, etc. The method achieves the expected results.