A Hierarchical Transactive Energy Management System for Energy Sharing in Residential Microgrids

Akter, M. N.; Mahmud, M. A.; Oo, Amanullah Maung Than

doi:10.3390/en10122098

Cited by 43 publications

(60 citation statements)

References 35 publications

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“…In recent years, several effective studies have been conducted regarding TE technology with various objectives. For example, an analytical framework is presented in [23] based on the TE management with the aim of energy trading among neighboring households. However, this work is focused on the energy management of only several houses with limited features in the form of a residential microgrid.…”

Section: Introductionmentioning

confidence: 99%

Energy Exchange Control in Multiple Microgrids with Transactive Energy Management

Daneshvar

Mohammadi‐Ivatloo

Abapour

et al. 2020

Journal of Modern Power Systems and Clean Energy

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In recent years, the advent of microgrids with numerous renewable energy sources has created some fundamental challenges in the control, coordination, and management of energy trading between microgrids and the power grid. To respond to these challenges, some techniques such as the transactive energy (TE) technology are proposed to control energy sharing. Therefore, this paper uses TE technology for energy exchange control among the microgrids, and applies three operation cases for analyzing the energy trading control of four and ten microgrids with the aim of minimizing the energy cost of each microgrid, respectively. In this regard, Monte Carlo simulation and fast forward selection (FFS) methods are respectively exerted for scenario generation and reduction in uncertainty modeling process. The first case is assumed that all microgrids can only receive energy from the network and do not have any connection with each other. In order to maximize the energy cost saving of each microgrid, the second case is proposed to provide a positive percentage of cost saving for microgrids. All microgrids can also trade energy with each other to get the most benefit by reducing the dependency on the main grid. The third case is similar to the second case, but its target is to indicate the scalability of the models based on the proposed TE technology by considering ten commercial microgrids. Finally, the simulation results indicate that microgrids can achieve the positive amount of cost saving in the second and third cases. In addition, the total energy cost of microgrids has been reduced in comparison with the first case.

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Section: Introductionmentioning

confidence: 99%

Energy Exchange Control in Multiple Microgrids with Transactive Energy Management

Daneshvar

Mohammadi‐Ivatloo

Abapour

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…In recent studies [31], reliability, availability, and maintainability analysis were considered to improve a grid-connected solar PV system. Meanwhile, a hierarchical energy management system of solar PV systems and an energy storage system was developed for energy sharing in residential microgrids in another study [32].…”

Section: Introductionmentioning

confidence: 99%

Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System

Arias

Bae

2020

Energies

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This paper provides models for managing and investigating the power flow of a grid-connected solar photovoltaic (PV) system with an energy storage system (ESS) supplying the residential load. This paper presents a combination of models in forecasting solar PV power, forecasting load power, and determining battery capacity of the ESS, to improve the overall quality of the power flow management of a grid-connected solar PV system. Big data tools were used to formulate the solar PV power forecasting model and load power forecasting model, in which real historical solar electricity data of actual solar homes in Australia were used to improve the quality of the forecasting models. In addition, the time-of-use electricity pricing was also considered in managing the power flow, to provide the minimum cost of electricity from the grid to the residential load. The output of this model presents the power flow profiles, including the solar PV power, battery power, grid power, and load power of weekend and weekday in a summer season. The battery state-of-charge of the ESS was also presented. Therefore, this model may help power system engineers to investigate the power flow of each system of a grid-connected solar PV system and help in the management decision for the improvement of the overall quality of the power management of the system.

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“…It reveals about a 9.17% cost saving in summer. Another recent work by Akter et al [27] developed an energy-sharing model using a rule-based approach for energy management, which lacks revenue maximization from an economic aspect. The NPC-based optimization is a favored method over previously used methods as it optimizes the net present value of the MG system by considering the total annualized cost and the levelized cost.…”

Section: Introductionmentioning

confidence: 99%

Techno-Economic Operation and Environmental Life-Cycle Assessment of a Solar PV-Driven Islanded Microgrid

2019

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Microgrids (MGs) are playing an important role in the maximum utilization of distributed energy resources. The optimal economic operation and low-carbon electricity generation can enhance MGs effectiveness. This paper presents the results of a solar-photovoltaic (PV)-driven islanded MG's technoeconomic optimization analysis and environmental life-cycle assessment (LCA) to achieve economical and environmentally superior performance. A net present cost (NPC)-based simulation for optimal sizing of the MG is proposed. A novel life-cycle inventory (LCI) is developed to evaluate the impacts of the MG under 21 midpoint indicators and three endpoint indicators by the ReCiPe 2016 method, metal particle releases by the Ecopoints approach, and the greenhouse-gas emissions by the IPCC method. The sensitivity analysis is carried out to verify the effects for three different batteries and five different PV modules for all of the considered impact indicators. The results reveal that the proposed MG offers a revenue of 29,520 US$/yr by routing excess energy to neighbors after fulfilling the prosumers' demand at an optimal net present cost of 364,906 US$. Furthermore, the outcomes obtained from the LCA analysis show that, among the MG components, batteries have the highest impact on human health (74%) and the ecosystem (78%) due to greater greenhouse-gas emissions (CO 2 -48%, CH 4 -37%, and N 2 0-48%).INDEX TERMS Microgrid, optimal design, life-cycle assessment, environmental impact, greenhouse-gas.

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A Hierarchical Transactive Energy Management System for Energy Sharing in Residential Microgrids

Cited by 43 publications

References 35 publications

Energy Exchange Control in Multiple Microgrids with Transactive Energy Management

Energy Exchange Control in Multiple Microgrids with Transactive Energy Management

Design Models for Power Flow Management of a Grid-Connected Solar Photovoltaic System with Energy Storage System

Techno-Economic Operation and Environmental Life-Cycle Assessment of a Solar PV-Driven Islanded Microgrid

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