Photovoltaics in Microgrids: An Overview of Grid Integration and Energy Management Aspects

Bacha, Seddik; Pïcault, Damien; Burger, B.; Etxeberria-Otadui, I.; Martins, J. F.

doi:10.1109/mie.2014.2366499

Cited by 165 publications

(66 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Microgrids are electrical systems consisting of loads and distributed energy resources (like energy storage facilities and RES) that can operate in parallel with or disconnected from the main utility grid [6]. It is expected that the future power grid will be a combination of multiple microgrids collaborating with each other [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…Over the years, the decreasing costs of Photovoltaic (PV) systems have led to the development of microgrids powered by PV systems [8]. However, one of the major challenges in operating microgrids powered by RES is to find energy management strategies, capable of handling uncertainties related to electricity production from RES and consumption.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Battery Energy Management in a Microgrid Using Batch Reinforcement Learning

et al. 2017

View full text Add to dashboard Cite

Abstract:Motivated by recent developments in batch Reinforcement Learning (RL), this paper contributes to the application of batch RL in energy management in microgrids. We tackle the challenge of finding a closed-loop control policy to optimally schedule the operation of a storage device, in order to maximize self-consumption of local photovoltaic production in a microgrid. In this work, the fitted Q-iteration algorithm, a standard batch RL technique, is used by an RL agent to construct a control policy. The proposed method is data-driven and uses a state-action value function to find an optimal scheduling plan for a battery. The battery's charge and discharge efficiencies, and the nonlinearity in the microgrid due to the inverter's efficiency are taken into account. The proposed approach has been tested by simulation in a residential setting using data from Belgian residential consumers. The developed framework is benchmarked with a model-based technique, and the simulation results show a performance gap of 19%. The simulation results provide insight for developing optimal policies in more realistically-scaled and interconnected microgrids and for including uncertainties in generation and consumption for which white-box models become inaccurate and/or infeasible.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Battery Energy Management in a Microgrid Using Batch Reinforcement Learning

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Particularly, conventional power plants and ESSs are intended to compensate for poor programmability and intermittency of RES in order to ensure proper electricity supply. In this context, the employment of suitable energy management systems (EMSs) is of paramount importance for integrating DERs into DNs, namely for enabling smart grid (SG) paradigm [5,7,8]. These concepts seem unavoidable for achieving a sustainable electricity infrastructure, i.e.…”

Section: Introductionmentioning

confidence: 99%

Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

View full text Add to dashboard Cite

Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

show abstract

“…In the last few decades, serious concerns were raised about distributed generation units (DGs), especially the renewable energy resources, such as wind and solar photovoltaic (PV) systems [1,2]. More recently, micro-grids have attracted much attention as the local low voltage power systems integrating DGs into the network.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control and Fault Protection Investigation of a Renewable Energy Integration Facility with Solar PVs and a Micro-Turbine

2017

Energies

View full text Add to dashboard Cite

Abstract:In this paper, a renewable energy integration facility (REIF) with photovoltaic (PV) distributed generation resources for micro-grid applications is studied. In grid-tied operation, the PV system together with the grid supply the power to the local loads while the surplus energy is fed back to the grid. In stand-alone mode, a gas micro-turbine is operated as a master to establish the common AC bus voltage to which the PV inverters can synchronize The experimental results demonstrate the stable operation of the REIF under various generation and load conditions. The power quality can meet the IEEE Standard 1547. Furthermore, the responses of the REIF under different fault conditions are investigated. Relevant protection mechanisms are then developed, providing insights into the fault protection for the future grid.

show abstract

Photovoltaics in Microgrids: An Overview of Grid Integration and Energy Management Aspects

Cited by 165 publications

References 42 publications

Battery Energy Management in a Microgrid Using Batch Reinforcement Learning

Battery Energy Management in a Microgrid Using Batch Reinforcement Learning

Multidisciplinary Approach for the Development of Smart Distribution Networks

Coordinated Control and Fault Protection Investigation of a Renewable Energy Integration Facility with Solar PVs and a Micro-Turbine

Contact Info

Product

Resources

About