Hybrid and fully electric vehicles are becoming more common as a response to rising fuel prices and greenhouse considerations. While the benefits of electrification on urban air quality have been studied quite widely, financial assessments of the various alternative vehicle forms are less common, particularly for Australian driving conditions. The aim of this paper is therefore to identify the ...

Electric vehicle (EV) charging stations fed by photovoltaic (PV) panels allow integration of various low-carbon technologies, and are gaining increasing attention as a mean to locally manage power generation demand. This paper presents novel control schemes improve coordination an islanded PV-fed DC bus EV system during disturbances, including rapid changes irradiance, connection disconnection,...

roadmap is a strategic plan that describes the steps an organization needs to take to achieve stated outcomes and goals in different layers and these layers are closely related to each other. lower layer are more important in planning processes. acquisition layer is one of the most crucial layers in road mapping process. today there are some international organizations that do policy making and...

Damping of inter-area electromechanical oscillations is one of the major challenges to the electric power system operators. This paper presents Gravitational Search Algorithm (GSA) for tuning Static Synchronous Series Compensator (SSSC) based damping controller to improve power system oscillation stability. In the proposed algorithm, the searcher agents are a collection of masses which interact...

Real-time device-level multi-domain emulation can provide an accurate insight into behavioral transients of the hydrogen fuel-cell hybrid electric bus (HEB). However, conventional electromagnetic transient (EMT) simulation suffers from computation burden caused by complex subsystems. This paper develops a recurrent neural network (RNN) and EMT method for battery HEB. Two networks are designed t...

Electric load forecasting plays an important role in electricity markets and power systems. Because electric load time series are complicated and nonlinear, it is very difficult to achieve a satisfactory forecasting accuracy. In this paper, a hybrid model, Wavelet Denoising-Extreme Learning Machine optimized by k-Nearest Neighbor Regression (EWKM), which combines k-Nearest Neighbor (KNN) and Ex...

This paper presents a hierarchical control strategy for heat and electric power control of a building integrating hybrid renewable power sources including photovoltaic, fuel cell and battery energy storage with Plug-in Electric Vehicles (PEV) in smart distribution systems. Because of the controllability of fuel cell power, this power sources plays the main role for providing heat and electric p...