Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network

Li, Jiale; Yang, Bo; Huang, Jianxiang; Guo, Zhengxun; Wang, Jingbo; Zhang, Rui; Hu, Yuanweiji; Shu, Hongchun; Chen, Yixuan; Yan, Yongsheng

doi:10.1016/j.energy.2023.127142

Cited by 20 publications

(4 citation statements)

References 45 publications

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“…Various articles investigated the optimal operation of virtual ESSs and other types such as thermal ESSs, hydrogen ESSs, and battery ESSs, in the presence of EVs and MESs for energy management of EHs to feed the electrical, thermal, and cooling demands [138][139][140][141]. In reference [142], a stochastic risk assessment strategy to assess the distribution systems' performance in the presence of high penetration of DERs, MESs, and ESSs.…”

Section: Flexibility Assetsmentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

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Recently, various distributed energy resources are significantly integrated into the modern power systems. This introduction of distributed energy resource‐rich systems can cause various power quality issues, due to their uncertainties and capacity variations. Therefore, it is crucial to establish energy balance between generation and demand to improve power system's reliability and stability and to minimize energy costs without sacrificing customers’ comfort or utility. In this regard, power system flexibility concept is highlighted as a robust and cost‐effective energy management system, especially on the demand side, to provide consumers’ demands with an acceptable level of power quality. Accordingly, here, a comprehensive review of recent developments in the power system flexibility and demand‐side management strategies and demand response programs are provided to include mainly classifications, estimation methods, distributed energy resource modelling approaches, infrastructure requirements, and applications. In addition, current research topics for applying power system flexibility solutions and demand‐side management strategies based on modern power system operation are deliberated. Also, prominent challenges, research trends, and future perspectives are discussed. Finally, this review article aims to be an appropriate reference for comprehensive research trends in the power system flexibility concept in general and in demand‐side management strategies and demand response programs, specifically.

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Section: Flexibility Assetsmentioning

confidence: 99%

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Mousa,

Mahmoud,

Lehtonen

2024

IET Generation Trans & Dist

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show abstract

“…At present, demand response is mainly divided into the following two types: one is to sign an interruptible agreement with users to reduce or interrupt power consumption during peak load periods to obtain relevant compensation. However, this scheme is mainly aimed at large industrial users with high power consumption flexibility and is not applicable to residential users (Li et al, 2023). The other is based on the elasticity matrix of electricity price, which affects users' electricity consumption behavior through the dynamic change of electricity price and realizes "peak shaving and valley filling" through transfer, while the total load remains unchanged.…”

Section: Introductionmentioning

confidence: 99%

Bi-level optimization configuration method for microgrids considering carbon trading and demand response

Lei,

Junping,

Weijian

et al. 2024

Front. Energy Res.

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Under the background of the shortage of traditional energy and the increasingly serious environmental problems, this paper proposes a bi-level optimization configuration method for microgrids based on stepped carbon trading and price-based demand response. The stepped carbon trading mechanism is introduced into the planning model to clarify the impact of construction processes on land carbon emissions. Simultaneously, price-based demand response during system operation is introduced, guiding users to change the electricity consumption strategies to promote the consumption of renewable energy. Then, a bi-level optimal configuration framework is constructed. The upper level is optimized to allocate the capacity of the microgrid, with the lowest annual equivalent comprehensive cost as the objective function. The lower level is optimized for microgrid operation, with the minimum sum of the microgrid operation cost and carbon emission cost as the objective function. In view of the advantages of enhanced whale optimization algorithm (E-WOA) in solving multi-dimensional feature selection problems, E-WOA and CPLEX solver are combined to solve the bi-level optimization model for the first time. Simulation results show that after introducing a stepped carbon trading mechanism, the system carbon emissions decreased by 23.09%. Considering price-based demand response under the premise of introducing a stepped carbon trading mechanism, the total cost decreased by 3.57% and the carbon emissions decreased by 19.83%.

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“…The fault mode set should also account for the capabilities and limitations of different DERs and grid technologies, as well as the potential interactions between them during a fault event [7]. Overall, the use of a comprehensive fault mode set is crucial for maintaining the reliability and resiliency of high permeability distributed energy distribution networks, ensuring safe and efficient energy delivery to end users [8]. The Fault Mode Problem Configurations for High Adhesion A problem known as "Distributed Energy Distribution Networks" can arise in contemporary power networks that use a lot of distributed energy resources (DERs), like solar cells, wind turbines, and battery storage [9].…”

Section: Introductionmentioning

confidence: 99%

Prediction Analysis of Fault Mode Sets for High Permeability Distributed Energy Distribution Networks Based on Multivariate Data

Jianwei Ma

2024

jes

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This technical abstract describes a prediction analysis methodology for fault mode sets in high-permeability distributed energy distribution networks (DEDNs). DEDNs are complex systems composed of multiple interconnected energy sources, storage units, and loads, which are managed and controlled by intelligent devices. These systems have become increasingly important in modern electricity networks due to their ability to integrate a high share of renewable and distributed energy resources. The proposed prediction analysis aims to identify and classify the various fault modes that can occur in high-permeability DEDNs based on multivariate data. It includes information about the system's operational parameters, such as voltage, current, and frequency, as well as data on weather conditions, load profiles, and the state of the network. The methodology involves collecting and pre-processing the data using suitable techniques, such as data filtering and noise removal.

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Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network

Cited by 20 publications

References 45 publications

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Recent developments of demand‐side management towards flexible DER‐rich power systems: A systematic review

Bi-level optimization configuration method for microgrids considering carbon trading and demand response

Prediction Analysis of Fault Mode Sets for High Permeability Distributed Energy Distribution Networks Based on Multivariate Data

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