Present trends indicate that electrical vehicles (EVs) are favourable technology for road network transportation. The lack of easily accessible charging stations will be a negative growth driver EV adoption. Consequently, the station placement and scheduling activity have gained momentum among researchers all over world. Different planning models been proposed in literature. Each model is uniqu...

Currently, developing countries are experiencing a massive shift toward industrialization. Developing lack the technical sophistication and infrastructure to encourage low-carbon sustainable economic growth because of weak public awareness, regulations, technology. must plan industrialization process for maximum energy efficiency production, thereby reducing their CO <sub xmlns:mml="http://www....

Energy is one of the most important and essential source of life for the mankind. Among all types of sources, Electrical Energy is basis for development in any society or nation. In India substantial and sustained economic growth is creating enormous demand for electric energy. To meet the demand, many electrical power generating plants were installed, yet the gap between demand and supply has ...

This is Part II of two papers evaluating the feasibility of providing all energy for all purposes (electric power, transportation, and heating/cooling), everywhere in the world, from wind, water, and the sun (WWS). In Part I, we described the prominent renewable energy plans that have been proposed and discussed the characteristics of WWS energy systems, the global demand for and availability o...

Due to the deregulation trend in electric power system networks, many factors have to be taken into consideration such as lack of supplying electric power, system reliability, power quality, electric system losses and voltage disturbance and profile problems. The excessive growing needs for electricity force electrical researchers to implement new approaches through the electric system. Introdu...

Thermostatically Controlled Loads (TCLs) provide a source of demand flexibility, and are often considered good for Demand Response (DR) applications. Due to their heterogeneity, as such lack dynamics models, Reinforcement Learning (RL) is used exploit this flexibility. Unfortunately, RL requires exploratory interaction with the TCL, resulting in period potential discomfort users. We present an ...

This study compared the methods used to forecast increases in power consumption caused by rising popularity of electric vehicles (EVs). An excellent model for each region was proposed using multiple scaled geographical datasets over two years. EV charging volumes are influenced various factors, including condition a vehicle, battery’s state-of-charge (SOC), and distance destination. However, su...

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...

In recent years, incremental rate of electrical demands made many challenges for policy makers of power systems. Besides, due to economic crisis and environmental concerns about the air pollution, the new investments in thermal power generation units have experienced a noticeable reduction. For this reason, the power system operators should propose novel approaches to make a balance between inc...

Due to the ever-growing load, especially peak load, the increase in the capacity of plants is inevitable for the response to this growth. Peak load causes increases in customer costs and vast investments in generating and transmission parts. Therefore, restructuring in the electrical industry, competition in the electrical market and Demand Response Programs (DRPs) are of special importance in ...