This paper is about the dust effect impact on photovoltaic systems on the profit of an electricity market agent acting as an aggregator of photovoltaic power, wind power, thermal power, and an energy storage system. Energy storage ensures arbitrage and smoothing of the variability of photovoltaic power and wind power. The market agent intends to derive bids for submission in a day-ahead market, having

Renewable energy-based Distributed Generation (DG) is the most imperative part of modern power system and offers many potential benefits. To attain maximum benefits offered by DG integration, it is important to model the time varying characteristics of both load and generation. Therefore, this paper presents a new Weibull distribution-based time-coupled Probabilistic Generation model for optimal placement

The frequency control of an islanded microgrid (MG) consists of primary frequency control (PFC) and secondary frequency control (SFC). This study proposes to use the Battery Energy Storage System (BESS), the Photovoltaic (PV) systems and the LED lighting loads (LEDLLs) to quickly intercept the frequency deviation in a coordinated manner in the PFC stage. The PVs decrease their power generation in the

The implementation of Home Energy Management System (HEMS) in the recent research works have directed to revolutions in the conservation of energy and the environment along with savings in cost and enhancement in comfort levels. The implication of carrying out this research is to propose a home energy management approach combined with the insertion of Plug-in Electric Vehicles (PEVs) into the system

This paper proposes a reliable approach-based Harris Hawks Optimizer (HHO) to evaluate the optimal parameters of the Proportional–Integral (PI) controller simulating load frequency control (LFC) incorporated in a multi-interconnected system with renewable energy sources (RESs). During the optimization process, the integral time absolute error (ITAE) of the frequency and tie-line power is handled as

During demand changes and incidence of grid faults, the microgrid system is subjected to an imbalance between the generation and demand. The maintenance of power balance under such dynamic conditions is a major concern for the proper functioning of the microgrid network. During those dynamic periods, achieving voltage and frequency regulation, in particular, during islanded/standalone mode of operation

Electric vehicles are becoming an indispensable part of modern cities and power grids through their versatile and fast-response charge and discharge characteristics. Currently, smart parking lots in residential areas mainly provide slow-charging services and possibly participate in demand response programs. However, the fast emerging of EV fast-charge has brought the necessity to provide new installations

In the realm of the smart grid, there are new issues that are needed to be addressed. However, these new concerns may have an adverse effect on the complexity of the operation of the network, they present great opportunities to the network operators for a better service, in terms of lower costs and enhanced security. In this paper, the integration of the coordinated aggregated Plug-in Electric Vehicle

The rapid integration of the distributed generations (DGs) in distribution grids could result in voltage control issues. These issues are more noticeable in grids, which are reformed from overhead wires to underground cables. Different values of line characteristics, particularly the charging capacitance, differently influence the power flow results. The higher capacitance value of underground cables

Dimensions of electrical distribution network datasets have been increasing exponentially as result of global acceptance of toward smart metering projects for secure implementation of demand response strategies and attaining satisfactory operation of electrical distribution network. Traditional approaches of analyzing these datasets have often been prone to losing of important information for instance

Electrical Vehicles (EVs) have a growing penetration rate in many countries aimed at the reduction of fossil fuel consumption and declining environmental issues. The high penetration rate of EVs, as new electrical energy demands, can cause operational problems for distribution networks. Therefore, designing and implementation of monitoring and management mechanisms for EVs charging is a necessity.

The paper deals with a new way of determining a fault location in an electric power distribution radial feeder using an artificial neural network (ANN) and presents a new centralized protection method based on ANN. The aim of the devised algorithm is to detect the presence of a fault in a radial feeder and to disconnect faulted laterals from the distribution network. The protection schemes that are

This paper deals with developing a new technique based on artificial neural networks (ANN) for monitoring of the remote grid connected photovoltaic (PV) plant. An ANN utilizes the existing impedance relays’ measurements located at switchgear panel to monitor the PV power generated. Also, the proposed technique is able to monitor the power consumed by the load at the distribution side. The simple proposed

The paper suggests a new stochastic model for energy producing, dispatching, and storing for a system of multiple production units and multiple batteries that takes into account the topology of the system of the links between the batteries, the transmission and storage losses, and requirements for special regimes for batteries charging and discharging helping to prolong batteries life. For this model

The current coordination between the transmission system operator (TSO) and the distribution system operator (DSO) is changing mainly due to the continuous integration of distributed energy resources (DER) in the distribution system. The DER technologies are able to provide reactive power services helping the DSOs and TSOs in the network operation. This paper follows this trend by proposing a methodology