Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids

Energy management systems (EMSs) have been introduced in electrical power systems to optimize operations of the electrical grid infrastructure and to provide support to the grid operator in terms of optimized decisions [...]

The Value of Sector Coupling for the Development of Offshore Power Grids

Offshore grids can have a key role in the transition of the energy system to sustainability. Although they require extensive infrastructure investments, they open up for the exploitation of additional resources and may be important to provide for part of the increasing electricity demand driven by sector coupling. This paper quantifies the socio-economic value of offshore grids and identifies their major drivers, performing energy system optimization in a model application of the Northern-central European energy system and the North Sea offshore grid towards 2050. The increasing wake loss with the size of hub-connected wind farms is integrated in the modelling. We find that without sector coupling no offshore grid may develop, and that the higher the level of sector coupling, the higher the value of offshore grids. Therefore, it can be strongly stated that offshore grid infrastructure development should not be discussed as a separate political topic, but seen in connection to sector coupling.

A Scenario-Based Approach To Predict Energy Demand And Carbon Emission of Electric Vehicles On The Electric Grid

UK plans to ban the sale of new diesel and petrol cars by 2030 to be replaced by electric vehicles (EVs). However, motoring experts warn that this demand for electricity will increase by 50 % which will place unprecedented strain on the UK’s National Grid. The question is, will the UK’s electric grid infrastructure ready for this change? This comparative study investigates into the effect of UK green vehicles have on the electricity grid and will present a new insight into improving their environmental impact to the electric grid. This work is carried out with relevant data from 2014 to 2030 and addresses the carbon dioxide emissions produced on the natural environment and how EVs can help to reduce such pollution. This investigation will assess the effects on the electricity grid with or without EVs from an environmental, economic and social viewpoint. Recommendations from this work will help the industry to make key decisions of how to cope with demand and requirements to make a smart grid environment work.

Residence Automation System Using Internet of Things

Home automation using Internet of Things is full of automation and the human being’s life is getting easier as almost everything is systematic by replacing the conventional/manual systems. Recent days, the internet is the mixed part of every human life to gather the knowledge of technology. Internet of things provides a source the devices to connect, sensed by sensors and controlled by remote across a grid infrastructure. Various kind of sensors are designed to meet the need of Home automation such as flame sensor, gas sensor, touch sensor, soil moisture sensor, Infrared sensor where it is connected with Arduino board and it automatically controls the environment. Infrared Sensor is used to find the movement of objects and is used in home automation for example we can use infrared sensor in car shed to monitor the car activities. Based on the car motion we can use infrared sensor. Infrared sensor is used to sense the car movement based on the movement light is automatically changed into on condition and if there is no movement the light turns into off condition. The Arduino board have microcontroller to control all the process occurred in home and it can be sensed by the various sensor and it can be alert to the owner by mail or any other process. The results are obtained with the help of Arduino Software and Arduino UNO for all the sensors.