Multi-objective reactive power optimization of hybrid AC/DC power system considering power system uncertainty

Abstract

With the High Voltage Direct Current (HVDC) transmission is connected to the AC system, the uncertainty of converter reactive power consumption has brought certain influence to the reactive power optimization of the power grid. For the uncertainty of converter reactive power consumption and load, the DC reactive power and load are expressed by trapezoidal fuzzy parameters, and the multi-objective fuzzy reactive power optimization model of AC / DC interconnected system is established which optimizes the total network loss and node voltage offset of the AC / DC transmission system. The multi-objective optimization is converted into single-objective optimization by using the objective membership function and the fuzzy algorithm of multi-objective nonlinear objective programming, and the biogeography-based optimization algorithm is used to solve the model. The results of extended 39-node system example show that the proposed model and algorithm are suitable for voltage and reactive power control optimization under the condition that the converter reactive power consumption and load are fuzzy parameters.