This paper proposes a distributed algorithm for online energy management in networked microgrids with a high penetration of distributed energy resources (DERs). The implementation of networked microgrids with high penetration of DERs brings power generation closer to electricity users, which has advantages of increasing power supply efficiency and reliability by shortening the power supply deli...

System modeling and stability analysis is one of the most important issues of inverter-dominated microgrids. It is useful to determine the system stability and optimize the control parameters. The complete small signal models for the inverterdominated microgrids have been developed which are very accurate and could be found in literature. However, the modeling procedure will become very complex...

Microgrids are eco-friendly power systems because they use renewable sources such as solar and wind power as the main power source. However, the stochastic nature of wind and solar power is a considerable challenge for the efficient operation of microgrids. Microgrid operations have to satisfy quality requirements in terms of the frequency and voltage. To overcome these problems, energy storage...

Abstract This paper focuses on the comprehensive perspective of society and analyses operating costs income microgrids in balanced power network mode order to comprehensively evaluate economy microgrids. It is critical for rational planning micro-grid developing a scientific evaluation indicator an effective way test test. Research functional characteristics, standards, indicators, economics mi...

The main objective of this paper is to describe a strategy to deal with the voltage/reactive power problem for a MV distribution network integrating microgrids. The global problem, concerning all voltage levels, is detailed here and will imply the optimization of operating conditions by using the control capabilities of power electronic interfaces from DG sources, OLTCs and microgrids, through ...

We describe a novel framework for designing and implementing agent based simulations of the smart electrical grid. The framework is based on two primary concepts. First, the eletrical grid system is separated into semi-autonomous microgrids, each with their own set of hierarchically organized agents. Second, models for automating decision-making in the grid during crisis situations are independ...

In the future, the individual entities of microgrids such as distributed generators and smart loads may need to determine their power generation or consumption in more economic ways. Intelligent agents can help the decision-making procedure of the entities by intelligent algorithms and state-of-the-art communication with central controller and other local agents. This paper presents the develop...

We present automatic verification techniques for the modelling and analysis of probabilistic systems that incorporate competitive behaviour. These systems are modelled as turn-based stochastic multi-player games, in which the players can either collaborate or compete in order to achieve a particular goal. We define a temporal logic called rPATL for expressing quantitative properties of stochast...

To harness the potential of CMPs for scalable, energy-efficient performance in general-purpose computers, the Apple-CORE project has co-designed a general machine model and concurrency control interface with dedicated hardware support for concurrency management across multiple cores. Its SVP interface combines dataflow synchronisation with imperative programming, towards the efficient use of pa...

The multi-directional flow of energy in a multi-microgrid (MMG) system and different dispatching needs multiple sources time location hinder the optimal operation coordination between microgrids. We propose an approach to centrally train all agents achieve coordinated control through individual attention mechanism with deep dense neural network for reinforcement learning. novel allow each agent...