Oad Modeling News Today

The electrification of the transport industry is expected to have a major impact on the operation of future distribution grids which includes overloading of components, voltage unbalance and power quality issues. This paper proposes a novel approach to utilize the ripple injection load control signals for the control of EV charging load, considering a large integration of PV systems in the grid. Currently, ripple injection signals are widely used by distribution network service providers (DNSPs)...

Extreme incidents can cause diverse and dynamic disruptions to active distribution networks (ADNs). Thus, ADN operators (DNOs) must plan to prepare for and adapt to changes in conditions to withstand and quickly recover from such disruptions. This paper proposes a cooperative planning framework to design optimal microgrids (MGs) in smart ADNs integrated with virtual power plants (VPPs) to quickly reconfigure and recover during such events. The proposed framework has two parts: 1) optimal partiti...

Modern active distribution networks (ADNs) have become more resilient to service interruptions due to the flexibility offered by integrated distributed energy resources (DERs). Compared to network-owned DERs, directly controlled by the distribution system operator (DSO), a vast majority of DERs controlled by independent virtual power plants (VPPs) are much more difficult to coordinate. The coordination with the VPPs and the management of uncertainty are the two major obstacles in the utilization...

In this article, an advanced nonlinear control scheme is proposed for a three-phase grid-connected inverter and a solar photovoltaic (PV) system connected dc–dc converter. The proposed control scheme is based on a nonlinear adaptive integral backstepping approach. The robustness of the proposed control scheme is achieved through maintaining stability of the overall system, extacting maximum power from the solar PV, and controlling active power. Moreover, the injection of less harmonic componen...

Abstract Soft actuators are versatile and can readily perform various functions and interact safely with humans and the environment owing to their deformability. Shape memory alloys (SMAs) have advantages of high power-to-weight ratio, silent operation, and high response speed, which make them suitable for fabricating soft, compact, and muscle-like soft actuators with various transformation capabilities. However, it is challenging to precisely control SMA-based soft actuators and robots because...

Abstract Virtual power plants (VPPs) have become a driving force for the decentralized energy industry, due to their efficient management and control of distributed energy resources. Most of the operation strategies for VPPs are designed based on the day-ahead forecasts. However, the prediction errors of the renewable energy sources (RES) and loads in the power dispatch schedule can lead to a sub-optimal operation. In this paper, an adaptive and predictive energy management strategy for a real-...