P2P Multigrade Energy Trading for Heterogeneous Distributed Energy Resources and Flexible Demand

Li, Jiayong; Xu, Daosen; Wang, Jianhui; Zhou, Bin; Wang, Minghao; Zhu, Lipeng

doi:10.1109/tsg.2022.3181703

Cited by 28 publications

(14 citation statements)

References 35 publications

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“…In order to select the appropriate shared energy storage unit to achieve diversified application of energy storage in multiple scenarios with the minimum operating cost (Dai et al, 2021;Liu et al, 2021;Li et al, 2022), such as peak regulation and frequency modulation, renewable energy consumption, demand side response, reactive power compensation, and emergency reserve, the loss characteristics and transient response characteristics of energy storage can be hailed as the selection indicators and the energy storage resources with the same characteristics are aggregated and regulated optimally in this paper.…”

Section: Multi-characteristic Indexes Of Shared Energy Storagementioning

confidence: 99%

A dynamic hierarchical partition method for active distribution networks with shared energy storage aggregation

Peng

Gao²,

Chen³

et al. 2022

Front. Energy Res.

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Section: Multi-characteristic Indexes Of Shared Energy Storagementioning

confidence: 99%

A dynamic hierarchical partition method for active distribution networks with shared energy storage aggregation

Peng

Gao²,

Chen³

et al. 2022

Front. Energy Res.

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“…Some parameters can be directly measured and acquired that reflect the SOH of the target system, while some parameters cannot be directly reflected, so data are at the core of SOH monitoring [6]. Despite this, large-scale battery packs in a BESS with a serious SOH deviation during high-frequency and high-intensity operation under general charging/discharging control methods can be explained by the deformation (volume change) and fracture/crack of electrode materials caused by diffusion-induced stresses during cycling, which can result in short circuits that render electrode active materials incapable of storing Li-ions [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Multistage Current Charging Method for Energy Storage Device of Microgrid Considering Energy Consumption and Capacity of Lithium Battery

Liu²,

Zhou³

et al. 2022

Energies

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Modular multilevel converter battery energy storage systems (MMC-BESSs) have become an important device for the energy storage of grid-connected microgrids. The efficiency of the power transmission of MMC-BESSs has become a new research hotspot. This paper outlines a multi-stage charging method to minimize energy consumption and maximize the capacity of MMC-BESSs. Firstly, based on condition monitoring and data collection, the functional relationship between the internal resistance/capacity and other states of lithium batteries is established. Since the energy consumption of the battery is related to internal resistance, current, and time, the energy consumption calculation expression of the battery pack is established, and the objective function is designed to optimize energy consumption and capacity in order to determine the charging current curve of each stage. Compared with the constant current charging method, the proposed multistage current charging method for an MMC-BESS decreases energy consumption by 4.3% and increases the capacity of 5 SOC intervals by 1.56%.

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“…In PBDR programs, consumers respond to real-time prices based on the demand elasticity model (Kirschen et al, 2000) and modify their demands by shaving/ shifting flexible load from peak times into valley times to flatten load curves. PBDR programs are usually applied to the day-ahead and real-time market clearing (Wu, 2013;(Li et al, 2022), economic dispatching (Dehnavi and Abdi, 2016), and power grid planning (Wang et al, 2020). A successful PBDR can help the power market set efficient electricity prices, improve economic efficiency, and reduce environmental costs and carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Price-based low-carbon demand response considering the conduction of carbon emission costs in smart grids

Yang

Liao

et al. 2022

Front. Energy Res.

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The rapid development of the Industrial Internet-of-Things extends demand response (DR) research to the aspect of low-carbon emission in smart grids. This study proposed the concept of low-carbon DR (LCDR) in the electricity market as well as the price-based LCDR mechanism and its model. First, carbon cost conduction from the generation side to the demand side was analyzed, and then conduction function was quantifiably deduced. Second, the mechanism and model of price-based LCDR were proposed by considering three DR signals, namely, the electricity price, carbon price, and carbon emission intensity of the demand side, based on the traditional price-based DR (PBDR) mechanism. Third, the proposed LCDR mechanism was applied to the environmental–economic dispatch optimization problem. At last, case studies on the modified IEEE 39-bus system verified that the LCDR mechanism can reduce carbon emissions while maintaining the function of the traditional PBDR. Meanwhile, the applicability of LCDR was illustrated based on carbon emission sensitivity to LCDR model parameters. The proposed mechanism can guide participants in the electricity market in reducing electricity carbon emissions.

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P2P Multigrade Energy Trading for Heterogeneous Distributed Energy Resources and Flexible Demand

Cited by 28 publications

References 35 publications

A dynamic hierarchical partition method for active distribution networks with shared energy storage aggregation

A dynamic hierarchical partition method for active distribution networks with shared energy storage aggregation

A Multistage Current Charging Method for Energy Storage Device of Microgrid Considering Energy Consumption and Capacity of Lithium Battery

Price-based low-carbon demand response considering the conduction of carbon emission costs in smart grids

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