In this paper, an attempt has been made to introduce a new control strategy including Plug-in Hybrid Electric Vehicle (PHEV) and Diesel engine generator to control the voltage and frequency of autonomous microgrids. The proposed control strategy has multiple advantages over the recent control methods in microgrids. The proposed method applies the primary and secondary frequency control strategy...

Islanding is the situation in which part of the power grid, consisting of load and distributed generation (DG) is isolated from the utility grid remaining active, i.e. serving load. The idea of islanding parts of the distribution network in case of faults, in order to increase the consumer quality of service, is the basic notion behind the formation of Microgrids. In the context of Microgrids, ...

This paper deals with the problem of voltage security in microgrids. In general, voltage security is an issue for power systems, where the lack of reactive power is a concern. For microgrids a complexity is imposed, since frequency and voltage level deviations may take place by the operation of droop-controlled inverters. This paper incorporates the load margin calculation into a microgrid stru...

The idea of changing our energy system from a hierarchical design into a set of nearly independent microgrids becomes feasible with the availability of small renewable energy generators. The smart microgrid concept comes with several challenges in research and engineering targeting load balancing, pricing, consumer integration and home automation. In this paper we first provide an overview on t...

A microgrid can be defined as a grid of interconnected distributed energy resources, loads and storage systems. In systems containing renewable the coordinated operation generation units is important to ensure stability microgrid. needs successful control scheme achieve its design goals. Undesirable situations such distorted voltage profile frequency fluctuations are significantly reduced by in...

This article presents a supervised multi-agent safe policy learning (SMAS-PL) method for optimal power management of networked microgrids (MGs) in distribution systems. While unconstrained reinforcement (RL) algorithms are black-box decision models that could fail to satisfy grid operational constraints, our proposed considers AC flow equations and other limits. Accordingly, the training proces...

This paper focuses on the control of microgrids where both gas and electricity are provided to final customer, i.e., multi-carrier microgrids. Hence, these include thermal electrical loads, renewable energy sources, storage systems, heat pumps, combined power units. The parameters characterizing microgrid subject several disturbances, such as fluctuations in provision energy, variability demand...