Approaches to smart grid network communication and security

Abstract Recently, the networking of all-dielectric self-supporting (ADSS) fiber-optic cable has received attention as a solution to serve the needs of telecommunication networks and Internet connectivity for smart cities and smart grids (SGs). A hurdle to their deployment is a lack of understanding about the compatibility requirements for resilient hardware. This book chapter presents optimal power flow (OPF) and a compatibility study of major hardware components’ boosting of network resilience, viz. twisted eye link and suspension clippers except for jumper cable clamps, terminating helices, a complete set of tension fittings with a set of suspension fittings and vibration damper, tension/dead-end assembly, etc. The application feasibility of all hardware is evaluated using the finite element analysis (FEA) tools of CATIA V5 (Cozzens, 2013). In this work, various approaches of SG security are also discussed. Furthermore, this knowledge could be applied to optimize the project cost of communication networking for any SG. The large power generators have complex connections to the transmission network, while distribution systems with their simplified topology have facilitated easy connection for many consumers. The generating companies look for optimum utilization of available power to serve consumer loads. However, distribution companies and consumers are always looking for a reliable supply at a comparatively cheaper rate. Moreover, transmission companies are lean to ensure healthy operations by reducing transmission line congestion, maintaining the lowest operating voltage, and minimizing corresponding line losses. These are considered in the OPF problems of power systems. In this regard, a supervised algorithm, namely collective animal behavior (CAB), is applied on the modified IEEE 30-bus test system to solve OPF problems in the power system. To find a solution for OPF issues intended to comply with undertaken objectives, viz. by fuel cost minimization and reductions in transmission line losses by the tuning of respective control variables.