Predictive control and coordination for energy community flexibility with electric vehicles, heat pumps and thermal energy storage

Srithapon, Chitchai; Månsson, Daniel

doi:10.1016/j.apenergy.2023.121500

Cited by 17 publications

(3 citation statements)

References 53 publications

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“…During the establishment process, it is essential to evaluate the infrastructural implementation support of energy communities in a local community and the challenges associated with integration. Numerous case studies and project initiatives are available to address these issues [46,61,89].…”

Section: Integration Of Electric Vehiclesmentioning

confidence: 99%

Overview of Sustainable Mobility: The Role of Electric Vehicles in Energy Communities

Menyhart

2024

WEVJ

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From 2035 onward, the registration of new conventional internal combustion engine vehicles will be prohibited in the European Union. This shift is driven by steadily rising fuel prices and growing concerns over carbon dioxide emissions. Electric vehicles (EVs) are becoming increasingly popular across Europe, and many manufacturers now offer modified models, making pure internal combustion versions unavailable for certain types. Additionally, the comparatively lower operational costs of EVs for end users further bolster their appeal. In the European Union, new directives have been established to define innovative approaches to energy use in Member States, known as energy communities. This article provides a comprehensive overview of the architecture of energy communities, electric vehicles, and the V2X technologies currently on the market. It highlights the evolution of electric vehicle adoption in the EU, contextualizing it within broader energy trends and presenting future challenges and development opportunities related to energy communities. The paper details the diversification of electricity sources among Member States and the share of generated electricity that is utilized for transport.

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Section: Integration Of Electric Vehiclesmentioning

confidence: 99%

Overview of Sustainable Mobility: The Role of Electric Vehicles in Energy Communities

Menyhart

2024

WEVJ

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“…[15], a static load flow calculation for a real-world urban LV grid in the city of Cologne was utilized to explore the influence of various EV, HP, and PV penetration levels on the voltage and line/transformer loadings; a load shape generator in Python was used to produce the load profiles of homes with and without these technologies. In a real urban LV grid, Oliyide et al [16] investigated the transformer/line overloadings, voltage deviations, and losses caused by HP and EV for the years 2020 and 2030, while taking different penetration levels and seasonal load profiles into account; this analysis made use of the power system simulation software GridLab-D. Srithapon et al [17] presented a practical algorithm based on AC optimal power flow to lessen the burden (i.e., voltage violation and line overloading) on a modified IEEE European LV grid that included PV, HP, EV, thermal energy storage, and space heating. In two real, typical Dutch LV grids, Bhattacharyya et al [18] performed load flow calculations to determine line/transformer overloadings and the under-voltage brought on by penetrations of EVs and HPs in the future.…”

Section: Introductionmentioning

confidence: 99%

Systematic Evaluation of Possible Maximum Loads Caused by Electric Vehicle Charging and Heat Pumps and Their Effects on Common Structures of German Low-Voltage Grids

Fakhrooeian,

Pitz,

Scheppat

2024

WEVJ

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In this paper, we present a comprehensive assessment of the effects of residential loads, electric vehicles (EVs), and electric heat pumps (HPs) on low-voltage (LV) grids in urban, suburban, and rural areas of Germany. Firstly, real data are used to determine the typical structures for each LV grid region. Secondly, nine scenarios are defined with different levels of EV and HP penetration. Thirdly, the Low Voltage Load Flow Calculation in the DIgSILENT PowerFactory is performed for all scenarios while taking the simultaneity factor (SF) for each load type into consideration to calculate the minimum voltage and maximum loadings of transformer and lines in each grid; this allows for the grid’s potential bottlenecks to be identified. The network simulations are carried out with the consideration of charging powers of 11 kW and 22 kW in order to evaluate how an increasing EV load in the future may affect the grid’s parameters. To the best of our knowledge, no study in the literature has simultaneously addressed all of the aforementioned topics. The results of this study provide a useful framework that distribution system operators (DSOs) may apply to anticipate the forthcoming challenges and figure out when grid reinforcement will be required.

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“…Figure 12. DR response of each cluster.Where the energy consumption rate is 0.9908 and the payoff is 𝑓 = 𝑚𝑎𝑥(𝑓 + 𝑓 − 𝑓 ) = 941,732.09 (yuan) 𝐿 = 𝑓𝜀 = 933,068 15. …”

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confidence: 99%

A Multi-Type Dynamic Response Control Strategy for Energy Consumption

Jing,

Wei,

Wang

et al. 2024

Energies

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In the context of the “Dual-Carbon Strategy”, the seamless integration and optimal utilization of renewable energy sources present a pressing challenge for the emerging power system. The advent of demand-side response technology offers a promising solution to this challenge. This study proposes a two-stage response control strategy for multiple DR clusters based on the specific response time characteristics of industrial and residential loads. The strategy enhances the utilization rate of wind power, harnesses the joint response capability of various types of loads on the demand side, and ensures the overall revenue of the load aggregator (LA). It underscores the importance of industrial loads in large-scale energy consumption control throughout the overall consumption response process, while residential load clusters exhibit quick response flexibility. A homogeneous energy consumption sorting unit response strategy is established from the perspective of a residential load variable-frequency air conditioning cluster unit. This strategy addresses the challenge faced by industrial electrolytic aluminum plants in coping with long-term response intervals amidst significant fluctuations in wind power consumption demand, which may lead to incomplete consumption. This study constructs a response model based on industrial and residential time-sharing tariffs, as well as the aggregator consumption penalty price, with the optimal load energy economy index serving as the evaluation criterion. A series of simulations are conducted to comprehensively evaluate the energy consumption of the two load clusters at all times and the total revenue of the aggregator in the response zone. The objective is to achieve a win–win situation for the total wind power energy consumption rate and the aggregator’s economy. The results of the simulations demonstrate that the response control strategy proposed in this study enhances the overall energy consumption rate by nearly 4 percentage points compared to a single industrial cluster. The total benefit of the load aggregator can reach CNY 941,732.09. The consumption response scheduling strategy put forward in this paper bolsters wind power consumption, triggers demand response, and significantly propels the comprehensive construction and development of the dual-high power grid.

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Predictive control and coordination for energy community flexibility with electric vehicles, heat pumps and thermal energy storage

Cited by 17 publications

References 53 publications

Overview of Sustainable Mobility: The Role of Electric Vehicles in Energy Communities

Overview of Sustainable Mobility: The Role of Electric Vehicles in Energy Communities

Systematic Evaluation of Possible Maximum Loads Caused by Electric Vehicle Charging and Heat Pumps and Their Effects on Common Structures of German Low-Voltage Grids

A Multi-Type Dynamic Response Control Strategy for Energy Consumption

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