Cloud computing for monitoring and controlling of distributed energy generations

The worlds´ energy demand keeps increasing. To address this demand of energy growth intelligent energy management, monitoring and controlling play a big role besides increasing the energy generation capacity. The future smart grid expected to accommodate and integrates widely dispersed energy sources and distributed energy generations. Advanced information and communication technologies, smart meters and sensors are implemented in smart grid to enable an automated, intelligent and widely distributed energy delivery network. A huge amount of row data is collected by smart meters and sensors from the end user and different part of the network to the computation system, monitoring and controlling centers. An enormous pool of computing resources and storage must be provided to compute this vast amount of data. Processing these data enables the operators to make a knowledge based action as it occurs. This paper discusses the monitoring and controlling of distributed renewable energy generations in smart grid using cloud computing resources. Design and develop a Lab demonstrator and realization of the proposed solution to utilize the advantage of unlimited resources provided by cloud computing.