Paper Title
Advanced Communication Systems for Controlling and Monitoring of the Smart Grid

Abstract
In the smart grid, it is possible to supply and consume energy efficiently. The SG is integrating the data communications network with the power grid, which enables grid operators to collect and analyze data about power generation, transmission, distribution, and consumption in real time. In SG network, the traditional electrical network is automated using sensors and control algorithms. There are serious issues of faults on high voltage transmission lines in power system. So Instant isolation of fault is necessary to maintain the system stability. Protective relay utilizes the current and voltage signals to detect, classify, and locate the fault in transmission line. A trip signal is required to be triggered by the relay to a circuit breaker for disconnecting the faulted line from the rest of the system in order to maintain the stability of the remaining system. It is important to develop communication network for intelligent fault detection, fault classification, fault location, fault phase selection, and fault direction discrimination. Advanced Metering Infrastructure (AMI) is considered to be the heart of SG. Lack of security in AMI systems can expose the electrical distribution and affect the reliability. Power industries are now facing unprecedented new security challenges in AMI. If these challenges are not addressed then it could open AMI to attacks that could prove catastrophic to the economy and public safety. Controlled information is flowing in a communication network to the control center in AMI. The control information is delay sensitive so it require a reliable communication. Hence, it is necessary to opt for the best communication technology to cater the highest quality of Service for control information. Among various challenges in a smart grid network, it is necessary to control non-technical losses like electrical theft. Two-way flow of information between suppliers and consumer, encourage users’ participation in energy savings and cooperation through the demand-response mechanism. This emphasizes the need to manage DR to reduce peak electricity load and price. Keywords - (Demand Response(DR), Quality of Service (QoS), unmanned aerial vehicle (UAV), Global Positioning Systems (GPS), General Packet Radio Service (GPRS), Advanced Metering Infrastructure (AMI), Wireless Sensor Network (WSN), Artificial Neural Network (ANN) ,Communication-based Train Control (CBTC).