Integrates the distributed generators (DGs) with traditional grid voltage regulation, analyzes the grid reactive power optimization of distributed generators, and builds the multi-objective optimized mathematical model with less active power network loss and maximum voltage stability margin. Applies fuzzy theory to transform the multi-objective reactive power optimization into single-objective optimization, further reduces active power network loss and improves the voltage stability. In order to overcome the problem of traditional bat algorithm tending to fall into the local optimal solution, integrates the chaos sequence and adaptive adjustment strategy into the bat optimization algorithm and proposes an improved multi-objective bat optimization algorithm. Adjusts the bat algorithm parameters by chaos theory and dynamic adaptive mechanism adjust characteristics. Through the IEEE-33 test system, verifies the practicability and adaptability of the proposed algorithm, and it also proves the practical significance of the model.