Optimal energy management integrating renewable energy, energy storage systems and electric vehicles

Fanti, Maria Pia; Mangini, Agostino Marcello; Roccotelli, Michele; Ukovich, Walter

doi:10.1109/icnsc.2017.8000146

Cited by 18 publications

(18 citation statements)

References 15 publications

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“…A multi-leader, multi-follower, non-cooperative Stackelberg game in malty MG is discussed in [266]. Ref [267] reviews the district energy management system controls, the real-time energy consumption of the district, and minimizes additional real-time energy requests. A Fuzzy Prediction Interval Model in MG is discussed in [268].…”

Section: E System Reconfigurationmentioning

confidence: 99%

“…The voltage and current fluctuation of the fuel cell reviewed in [205]. A poly generation MG is discussed in [277], district EMS is presented in [256] to maximize the utilization of energy, recursive algorithm based reliability model is discussed in [206] and reference [278] proposes an energy management algorithm for hybrid storage systems. Some energy companies that are currently deploying energy management system are Advantech [279], ABB [280], General Electric's [281], Schneider Electric [282], and Alstom [283].…”

Section: E System Reconfigurationmentioning

confidence: 99%

See 1 more Smart Citation

Energy Management in Power Distribution Systems: Review, Classification, Limitations and Challenges

Alam

Arefifar

2019

IEEE Access

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Energy management in distribution systems has gained attention in recent years. Coordination of electricity generation and consumption is crucial to save energy, reduce energy prices and achieve global emission targets. Due to the importance of the subject, this paper provides a literature review on recent research on energy management systems and classifies the works based on several factors including energy management goals, the approaches taken for performing energy management and solution algorithms. Furthermore, the paper reviews some of the most proficient techniques and methodologies adopted or developed to address energy management problem and provides a table to compare such techniques. The current challenges and limitations of energy management systems are explained and some future research directions have been provided at the end of the paper.

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Section: E System Reconfigurationmentioning

confidence: 99%

Section: E System Reconfigurationmentioning

confidence: 99%

Energy Management in Power Distribution Systems: Review, Classification, Limitations and Challenges

Alam

Arefifar

2019

IEEE Access

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“…The concept of the district EMS (DEMS) was first proposed in References [90][91]. Fanti et al [90] focused on the decrease of the electricity imported from the electric grid by optimising the capacity of the renewable systems, the thermal storage system, and the districts' EVs. Both deterministic and stochastic models for renewable energy generation have been developed and implemented in their research.…”

Section: Ems Including Buildings Evs and Gridmentioning

confidence: 99%

Energy integration and interaction between buildings and vehicles: A state-of-the-art review

Zhou

Cao

Hensen

et al. 2019

Renewable and Sustainable Energy Reviews

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Clean power production, buildings, and transportation are key areas for climate change mitigation. Their tighter integration decreases not only the emissions, but also the energy consumption of buildings and transportation.Energy integration and interactions between buildings and vehicles are dependent on the type of building, vehicle, and renewable energy system, as well as the local climatic conditions. The current academic literature does not provide a systematic analysis of this topic. In the study, different energy management systems and advanced energy control strategies have been formulated to study such interactions both from a building and a vehicle perspective. Furthermore, technical solutions have been systematically reviewed in terms of the enhancement of energy interaction capabilities, in particular from the standpoint of renewable energy systems, energy/fuel charging facilities, and control strategies. Assessment criteria employed in the review of solutions include grid interaction, annual operational cost, annual net CO2 emissions, and annual matching capability. The literature review identifies several technical challenges that need further consideration such as capacity expansion and power fluctuation of the electric grid, low efficiency of heat recovered from electricity generation, and depreciation of vehicles. The future outlook and potential for the energy interaction networks between buildings and vehicles have also been presented.

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“…I N recent years, the smart grid is becoming the key technology to enable the optimal integration of the Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) into the microgrid energy management systems [1]. Typically the microgrid is composed of energy demanding devices, RESs and ESSs that have been introduced to decrease the harmful emissions caused by fossil fuel power plants and to reduce the need of energy to be purchased from the main electric grid [2]. Therefore, the microgrids allow at minimizing the energy consumption and costs and at enhancing power system reliability in smart districts, providing cheaper and green energy to users [3].…”

Section: Introductionmentioning

confidence: 99%

“…In the MM framework, it is also necessary to take into account the stochasticity of some key variables like the production of RESs, the energy consumption and costs. Therefore, the deterministic approaches [7], based on a perfect knowledge of such parameters are overcome by stochastic and robust approaches to deal with parameters uncertainties. In addition, electric vehicles can be used in the microgrid mix both as static and dynamic storage systems, moving energy among microgrids [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Smart District Energy Management With Cooperative Microgrids

2022

Self Cite

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This paper faces the energy management problem of cooperative microgrids in a smart energy district. In particular, the aim of the research work is to propose an innovative optimization model to solve the problem of energy management in a district composed of several microgrids, taking into account uncertainties of key parameters. In this context, the objective of the paper is threefold: i) maximize the use of energy purchased at the day-ahead market; ii) minimize the need of additional and expensive energy in realtime iii) optimize the integration of renewable energy sources (RES), energy storage systems (ESS) and electric vehicle (EV) batteries in the microgrid. To these goals, the District Energy Management System (DEMS), i.e. the central controller of the district, must balance the microgrids energy demand with the optimal integration of RES, ESS and the batteries of EVs that are seen as movable storage devices shared among buildings. Moreover, the energy surplus can be sold back to the main power grid. The DEMS problem is solved by two approaches. In the first approach, the energy demand, the RES production and the costs are known and a linear programming problem is formalized and solved by the DEMS. In addition, a second approach is proposed in order to address the parameters uncertainty and is formalized as a stochastic linear programming problem. The optimization problems solutions provide the optimal strategy to schedule the charging and discharging operations of the storage systems and the electric vehicle batteries. A simulation case study demonstrates the benefits of the proposed approaches for the smart district.

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Optimal energy management integrating renewable energy, energy storage systems and electric vehicles

Cited by 18 publications

References 15 publications

Energy Management in Power Distribution Systems: Review, Classification, Limitations and Challenges

Energy Management in Power Distribution Systems: Review, Classification, Limitations and Challenges

Energy integration and interaction between buildings and vehicles: A state-of-the-art review

Smart District Energy Management With Cooperative Microgrids

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