The purpose of this paper is to investigate how to improve the reliability and anti-interference capability of wireless ad hoc network communication in dense electric power transmission line environments, in order to address the impact of electromagnetic interference and co-channel interference. To this end, a beamforming-based communication enhancement method for ad hoc network is proposed, which dynamically adjusts the transmission power and phase of each node to optimize the signal propagation direction and enhance effective signal reception. Specifically, a hybrid noise model is used to model the background noise in the communication environments, combined with the Lee-based ad hoc channel model, to analyze the propagation characteristics of signals in the dense electric power transmission line environments. On this basis, a self-adaptive beamforming method based on the MAPPO algorithm is proposed, dynamically adjusting the transmission parameters of communication nodes to maximize the overall capacity and stability of the network, ensuring efficient communication in ad hoc networks. This method not only enhances the anti-interference capability of power information systems in harsh environments, but also provides crucial technical support for the communication security of future smart grids.