Hierarchical energy management for community microgrids with integration of second‐life battery energy storage systems and photovoltaic solar energy

Deng, Youjun; Zhang, Yongxi; Luo, Fengji; Mu, Yunfei

doi:10.1049/esi2.12055

Cited by 20 publications

(8 citation statements)

References 34 publications

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“…In particular, the authors considered a retired Nissan leaf battery pack after reaching 71% state-of-health, demonstrating that repurposed batteries may find application in commercial installations. Applicability of second-life batteries in residential communities is studied in [18], for which a hierarchical energy management structure is developed encompassing community and load reshaping decisions within a multi-level framework.…”

Section: B Related Workmentioning

confidence: 99%

Optimal Design of Photovoltaic Domestic Installations Considering Second-Purpose Batteries

Gómez-González,

Tostado-Véliz,

Valverde

et al. 2023

IEEE Access

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About 11 million tons of retired batteries are expected to be produced globally by 2030, of which a huge percentage will proceed from individual owners who charge their vehicles at home. To overcome this issue, multiple studies focused on the viability of reusing mobility batteries for different applications. However, this kind of analysis in individual dwellings are still scarce. This paper aims at filling this gap by developing a novel optimization methodology for design of photovoltaic arrays in domestic installations considering second-purpose batteries from mobility. In particular, we aim at analyzing the effect of using batteries from vehicles when they are no longer valid for mobility. Thus, we consider the problem in which these batteries are used for stationary applications at home, observing their effects on the photovoltaic design as well as other aspects like total project cost and self-consumption rates. To this end, a planning strategy is developed including suitable models of photovoltaic units, flexible loads and electrical vehicle. The developed methodology is tested on a benchmark prosumer environment and different scenarios are profusely studied. The results obtained demonstrate that the use of second-purpose batteries seem profitable in smart homes, reducing the total cost by 15 % and increasing the selfconsumption rate by 20 %. Moreover, other aspects like its effect on the final scheduling and the behavior under limited photovoltaic capacity are commented. Lastly, the importance of the developed methodology

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Section: B Related Workmentioning

confidence: 99%

Optimal Design of Photovoltaic Domestic Installations Considering Second-Purpose Batteries

Gómez-González,

Tostado-Véliz,

Valverde

et al. 2023

IEEE Access

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“…[44]- [57]; • Multi-Microgrid based approaches: [2], [7], [11]- [13], [17], [24]- [28], [32]- [35], [37], [38], [41], [42], [45], [46], [48], [52], [54]- [57]; • reviews: [4], [5]. There are contributions where the MM management problem is addressed on the basis of on the Day-Ahead Energy (DAEM) Market concept [18].…”

Section: Related Workmentioning

confidence: 99%

Smart District Energy Management With Cooperative Microgrids

2022

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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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“…Therefore, the global demand for sustainable energy is becoming increasingly urgent, while also driving continuous innovation and development of sustainable energy technologies [2,3]. In the process of moving towards a new era of energy diversification, renewable energy power generation represented by photovoltaic (PV) and wind turbines (WT) undoubtedly serves as the main driving force [4,5]. As a small autonomous system of clean energy power generation, energy storage and load, microgrid (MG) has become an important way for the rational utilisation of energy in the field of power and even energy system [6,7].…”

Section: Introductionmentioning

confidence: 99%

Distributed robust operation strategy of multi‐microgrid based on peer‐to‐peer multi‐energy trading

Gao

Shao

Chen

et al. 2023

IET Energy Syst Integration

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In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility. Peer‐to‐peer (P2P) trading models have been widely used due to their advantages in promoting the sustainable development of renewable energy and reducing energy trading costs. However, P2P multi‐energy trading requires mutual agreements between two microgrids (MGs), and the uncertainties of renewable energy and load affects energy supply security. To address these issues, this article proposed a distributed robust operation strategy based on P2P multi‐energy trading for multi‐microgrid (MMG) systems. Firstly, a two‐stage robust optimisation (TRO) method was adopted to consider the uncertainties of P2P multi‐energy trading between MGs, which reduced the conservatism of robust optimisation (RO). Secondly, a TRO model for P2P multi‐energy trading among MGs was established based on the Nash bargaining theory, where each MG negotiates with others based on their energy contributions in the cooperation. Additionally, a distributed algorithm was used to protect the privacy of each MG. Finally, the simulation results based on three MGs showed that the proposed approach can achieve a fair distribution of cooperative interests and effectively promote cooperation among MGs.

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Hierarchical energy management for community microgrids with integration of second‐life battery energy storage systems and photovoltaic solar energy

Cited by 20 publications

References 34 publications

Optimal Design of Photovoltaic Domestic Installations Considering Second-Purpose Batteries

Optimal Design of Photovoltaic Domestic Installations Considering Second-Purpose Batteries

Smart District Energy Management With Cooperative Microgrids

Distributed robust operation strategy of multi‐microgrid based on peer‐to‐peer multi‐energy trading

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