XING JIE, CAO RUILIN. Study on Reactive Power Optimization Method with Large Scale Access Condition of Cables in Urban Distribution Network. [J]. Power capacitor & reactive power compensation, 2021, 42(1): 32-38.
XING JIE, CAO RUILIN. Study on Reactive Power Optimization Method with Large Scale Access Condition of Cables in Urban Distribution Network. [J]. Power capacitor & reactive power compensation, 2021, 42(1): 32-38. DOI: 10.14044/j.1674-1757.pcrpc.2021.01.006.
Study on Reactive Power Optimization Method with Large Scale Access Condition of Cables in Urban Distribution Network
capacitive reactive power reversal is becoming increasingly prominent in the period of light load in large urban network
which endangers the safe and stable operation of power grid. Based on this background
the reactive power optimization method of distribution network with access of large-scale cables is studied. The influence of reactive power reversal on nodal power factor is analyzed and an integrated reactive power optimization model with consideration of power factor constraints(containing reactor and capacitor)is established. The minimization of the real power loss is the objective function of the model. The constrains of node power factor and switching capacity of reactor are added based on traditional reactive power constraints. Then
an improved genetic algorithm with loss sensitivity is used to solve the model. By coordinating the switching of reactors and capacitors in distribution network
the optimized scheme can avoid reactive power reversal and power factor exceeding the limit with large-scale cables access. Finally
a typical high-voltage distribution network is used as an example to verify the effectiveness of the model and algorithm.
关键词
无功优化功率因数改进遗传算法高压配电网
Keywords
reactive power optimizationpower factorimproved genetic algorithmhigh voltage distribution network