Power system operators in military and industrial networks have access to large amounts of data due to the transition from hardwired analog meters to large computerized panels. Limitations include the mentally intensive nature of translating data into actionable intelligence, and the reliance on operator experience to interpret and balance options. To address this, IAI and its collaborators from Florida State University have been awarded a new contract entitled “Human Machine Interface (HMI) for Efficient, Lithe, and Intuitive Operator-communication and Sense-making in Power Networks (HELIOS-PN).” IAI’s state-of-the-art agent-based software will be combined with expertise in advanced human factors engineering and power systems to create an innovative, adaptive agent-based Human Machine Interface (HMI) system. The modular, flexible, and scalable system will have an agent-based automation and decision support engine, visualization libraries, and front-end adaptive screens to integrate state-of-the-art automation and visualization techniques. The system assists in the complex task of providing the right representation of the right data at the right time, relieving the operator of lower levels of data aggregation and contingency analysis. Tools, visualizations and methods will be developed for improving the operators’ situational awareness, and enabling efficient decision-making, facilitating reliable and intuitive operator interaction. HELIOS-PN is based on the tenets of information visualization, and techniques that leverage the cognitive and perceptual capability of the human operator. The components of the system will be integrated using a distributed and scalable agent framework based on IAI’s Cybele Distributed Agent based platform. The interface system provides effective remote control and monitoring, both for stationary and mobile operators.