Abstract:

The dynamic behavior of microgrid is more complex than that of traditional power grid, so it is urgent to solve the problem of fault detection and location. The optimization configuration of micro phasor measurement unit (μPMU) in microgrid system is studied. A multi-objective optimal μPMU configuration strategy considering cost, node failure rate and redundancy is proposed. Based on the multi-objective function of the lowest installation cost, the highest sum of node failure rate and the highest observable redundancy, a multi-objective optimal configuration model is established according to the normal state of the system and the constraints of arbitrary line faults. The nondominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is improved by differential evolution operator, and the improved algorithm is used to solve the model and select the optimal compromise solution. Based on the improved IEEE 30-node microgrid system simulation analysis, it is shown that the multi-objective optimal configuration strategy taking into account the node failure rate is feasible. The proposed strategy can effectively carry out the whole network visualized monitoring of the microgrid system and give consideration to the economy and accuracy.

Key words: microgrid, micro phasor measurement unit(μPMU), optimal configuration strategy, node failure rate, redundancy