A de-centralised load management technique exploiting the flexibility in the charging of Electric Vehicles (EVs) is presented. Two regimes are assumed. The Controlled Charging Regime (CCR) between 16:30 hours and 06:00 hours next day Uncontrolled (UCR) same day. During CCR, EVs is coordinated controlled by means a wireless two-way communication link between EV Smart Charge Controllers (EVS...

When operated, the cabin climate control system is the largest auxiliary load on a vehicle. This load has significant impact on fuel economy for conventional and hybrid vehicles, and it drastically reduces the driving range of all-electric vehicles (EVs). Heating is even more detrimental to EV range than cooling because no engine waste heat is available. Reducing the thermal loads on the vehicl...

This paper presents a Gaussian process model-based short-term electric load forecasting. The Gaussian process model is a nonparametric model and the output of the model has Gaussian distribution with mean and variance. The multiple Gaussian process models as every hour ahead predictors are used to forecast future electric load demands up to 24 hours ahead in accordance with the direct forecasti...

with the development of restructured power systems and increase of prices in some hours of day and increase fuel price, demand response programs were noticed more by customers. demand response consists of a series of activities that governments or utilities design to change the amount or time of electric energy consumption, to achieve better social welfare or some times for maximizing the benef...

This paper presents a multiobjective linear integer programming model for supporting the choice of remote load control strategies in electric distribution network management. The model takes into account the main concerns in load management, considering three objective functions: minimization of the peak demand as perceived by the distribution network dispatch center, maximization of the utilit...

The utilization of electric vehicles (EV) and their used batteries in supporting small-scale energy management systems were studied. Both theoretical study and practical demonstration were performed to measure the feasibility of the developed system. Each five EVs and used EV batteries were used along with 20 kW photovoltaic (PV) panels as a renewable energy source. The main objective of the de...

This paper examines the role of energy efficiency in enhancing electric system reliability. In many states that have enacted utility restructuring legislation, and thus far in Congress, energy efficiency advocates have had trouble convincing legislators of the connection between end-use efficiency and system reliability, and thereby persuading them to include support for end-use efficiency prog...

Efficient scheduling of power generation, distribution, and usage are crucial for current and future smart grids. Improving the energy management in grid applications will benefit the wholesale electricity market as well as the consumers. This paper addresses the optimal power management problems in electric cooling systems based on appropriately constructed thermal dynamic models and cost prof...

With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...