PV-EV integrated home energy management using vehicle-to-home (V2H) technology and household occupant behaviors

Zafar, Bassam; Slama, Sami Abdullah Ben

doi:10.1016/j.esr.2022.101001

Cited by 16 publications

(6 citation statements)

References 54 publications

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“…One similar study developed a home-centralized PV system to obtain optimal appliance automation and reduced residential energy demand. A study considered the application of V2H technology, PV system, and EVs [253], and the research [248] pointed out that commercial usage of V2H can maximize locally generated RESs. Research [254] designed a novel home energy management system in nearly-zero energy buildings to optimally coordinate smart household appliances, RESs, EVs, and on-site storage facilities.…”

Section: Resilience Power Supply Through Evsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

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Electrical power systems with their components such as generation, network, control and transmission equipment, management systems, and electrical loads are the backbone of modern life. Historical power outages caused by natural disasters or human failures show huge losses to the economy, environment, healthcare, and people’s lives. This paper presents a systematic review on three interconnected dimensions of (1) electric power system resilience (2) the electricity supply for/through Electric Vehicles (EVs), and (3) social vulnerability to power outages. This paper contributes to the existing literature and research by highlighting the importance of considering social vulnerability in the context of power system resilience and EVs, providing insights into addressing inequities in access to backup power resources during power outages. This paper first reviews power system resilience focusing on qualitative and quantitative metrics, evaluation methods, and planning and operation-based enhancement strategies for electric power systems during prolonged outages through microgrids, energy storage systems (e.g., battery, power-to-gas, and hydrogen energy storage systems), renewable energy sources, and demand response schemes. In addition, this study contributes to in-depth examination of the evolving role of EVs, as a backup power supply, in enhancing power system resilience by exploring the EV applications such as vehicle-to-home/building, grid-to-vehicle, and vehicle-to-vehicle or the utilization of second life of EV batteries. Transportation electrification has escalated the interdependency of power and transportation sectors, posing challenges during prolonged power outages. Therefore, in the next part, the resilient strategies for providing electricity supply and charging services for EVs are discussed such as deployments of battery swapping technology and mobile battery trucks (MBTs), as well as designing sustainable off-grid charging stations. It offers insights into innovative solutions for ensuring continuous electricity supply for EVs during outages. In the section on social vulnerability to power outages, this paper first reviews the most socioeconomic and demographic indicators involved in the quantification of social vulnerability to power outages. Afterward, the association between energy equity on social vulnerability to power outages is discussed such as inequity in backup power resources and power recovery and restoration. The study examines the existing challenges and research gaps related to the power system resilience, the electric power supply for/through EVs, social vulnerability, and inequity access to resources during extended power outages and proposes potential research directions to address these gaps and build upon future studies.

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Section: Resilience Power Supply Through Evsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

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“…Otherwise, exact information of the battery charge is determined once it is plugged into home charging/discharging control unit. The estimated energy reduced during the journey (Ereduce n ) represented by (16).…”

Section: B Ev Battery Modelmentioning

confidence: 99%

“…For example, EV batteries can be used to support grid frequency and voltage regulation [9][10][11][12][13] by enabling the Vehicle to Grid (V2G) mode as in Project Sciurus, a commercial V2G project commenced in the UK in 2018 [14]. In addition, EV batteries can also be used to reduce household energy costs [15], reduce peak load [16], supply a home during outages [17], and increase household self-consumption by enabling the Vehicle to Home (V2H) mode [8,18]. Thus, to reduce the burden of developing new infrastructure, the self/local-consumption approach is encouraged by several countries, including the UK [19,20].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System

et al. 2023

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The rapid increase in integration of Electric Vehicles (EVs) and Renewable Energy Sources (RESs) at the consumption level poses many challenges for network operators. Recently, Peer-to-Peer (P2P) energy trading has been considered as an effective approach for managing RESs, EVs, and providing market solutions. This paper investigates the effect of EVs and shiftable loads on P2P energy trading with enhanced Vehicle to Home (V2H) mode, and proposes an optimized Energy Management Systems aimed to reduce the net energy exchange with the grid. Mixed-integer linear programming (MILP) is used to find optimal energy scheduling for smart houses in a community. Results show that the V2H mode reduces the overall energy costs of each prosumer by up to 23% compared to operating without V2H mode (i.e., EVs act as a load only). It also reduces the overall energy costs of the community by 15% compared to the houses operating without the V2H mode. Moreover, it reduces the absolute net energy exchanged between the community and the grid by 3%, which enhances the energy independence of the community.

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“…Yet, advancement is not solely made by investments and expansion of renewable energy generation capacity, but also by thoroughly understanding existing energy needs in order to optimize efficiency and ultimately reduce the carbon intensity of generation and gain benefits for prosumers (small-scale consumer with microgeneration and/or storage) [5,6]. In order to achieve this, it is vital to understand current and future energy needs, which is a challenging task due to increasing uncertainties in supply and demand from new loads (e.g., electric vehicles [7,8]) and intermittent generations from renewable sources. Prosumer energy needs, together with the growing use of dynamic energy tariffs by utility providers, have underpinned the critical importance of battery storage technologies coupled with agile and accurate forecasting algorithms for efficient scheduling.…”

Section: Introductionmentioning

confidence: 99%

Improving the Efficiency of Renewable Energy Assets by Optimizing the Matching of Supply and Demand Using a Smart Battery Scheduling Algorithm

et al. 2023

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Given the fundamental role of renewable energy assets in achieving global temperature control targets, new energy management methods are required to efficiently match intermittent renewable generation and demand. Based on analysing various designed cases, this paper explores a number of heuristics for a smart battery scheduling algorithm that efficiently matches available power supply and demand. The core of improvement of the proposed smart battery scheduling algorithm is exploiting future knowledge, which can be realized by current state-of-the-art forecasting techniques, to effectively store and trade energy. The performance of the developed heuristic battery scheduling algorithm using forecast data of demands, generation, and energy prices is compared to a heuristic baseline algorithm, where decisions are made solely on the current state of the battery, demand, and generation. The battery scheduling algorithms are tested using real data from two large-scale smart energy trials in the UK, in addition to various types and levels of simulated uncertainty in forecasts. The results show that when using a battery to store generated energy, on average, the newly proposed algorithm outperforms the baseline algorithm, obtaining up to 20–60% more profit for the prosumer from their energy assets, in cases where the battery is optimally sized and high-quality forecasts are available. Crucially, the proposed algorithm generates greater profit than the baseline method even with large uncertainty on the forecast, showing the robustness of the proposed solution. On average, only 2–12% of profit is lost on generation and demand uncertainty compared to perfect forecasts. Furthermore, the performance of the proposed algorithm increases as the uncertainty decreases, showing great promise for the algorithm as the quality of forecasting keeps improving.

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PV-EV integrated home energy management using vehicle-to-home (V2H) technology and household occupant behaviors

Cited by 16 publications

References 54 publications

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System

Improving the Efficiency of Renewable Energy Assets by Optimizing the Matching of Supply and Demand Using a Smart Battery Scheduling Algorithm

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