Wasserstein distance-based expansion planning for integrated energy system considering hydrogen fuel cell vehicles

Xiang, Wei; Chan, Ka Wing; Wu, Ting; Wang, Guibin; Zhang, Xian; Liu, Junwei

doi:10.1016/j.energy.2023.127011

Cited by 15 publications

(6 citation statements)

References 33 publications

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“…This simplification, while computationally less intensive, often overlooks the long-term sustainability of the electrical infrastructure. On the other hand, given the significance of integrating RDGs into the electrical grid to meet the expected FCS load and reduce the peak-valley ratio resulting from high demand at specific times of the day, several studies have investigated the joint allocation and sizing of both FCS and RDGs [76][77][78][79]. Others have further extended the scope with additional considerations for mobile energy storage [80].…”

Section: Hybrid Approachesmentioning

confidence: 99%

“…Examples include the integration of Teaching and Learning-Based Optimization (TLBO) with Shuffled Frog Leap (SFL) for its superior search space exploration [74,76] and the combination of Grey Wolf Optimization (GWO) with Particle Swarm Optimization (PSO) for enhanced solution efficiency [77]. Furthermore, a combination of GA, information entropy, and game theory was presented by Wei and Chan [79] where 3 populations are generated in parallel, Information entropy decides the most diverse solution, and game theory selects individuals in populations. Nonetheless, it is important to compare the employed method against alternative approaches and conduct extensive validation on large-scale, real-life problems to ensure its suitability for FCS planning and multi-objective optimization.…”

Section: Hybrid Approachesmentioning

confidence: 99%

“…A critical gap in this section of research lies in the modeling of EV demand and the associated strategic placement of FCS. Existing models predominantly rely on pre-selection criteria for demand estimation and FCS location [74], statistical models [75,76,79], mathematical calculations [77,78], or assumptions [80]. None of the previously mentioned models have taken into account how the location and size of FCS may affect the transportation network flow.…”

Section: Hybrid Approachesmentioning

confidence: 99%

“…Table VI presents an overview of the utilized methods, modeling procedures, and associated limitations. -No search-enhancing approach -Each method is responsible for a task FCS equipped with RDGs No PFE GA, Information entropy [82], and Game theory [79] Historical travel data for EV demand modeling, considering RDGs -Uncertainties of conventional loads with EV demand and RDG output Although the hybrid algorithm is very promising, it might not handle multiobjectives. NO PFE GA and generalized reduced gradient descend.…”

Section: Hybrid Approachesmentioning

confidence: 99%

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Optimization Approaches for Fast Charging Stations Allocation and Sizing: A Review

Kandil,

Abdelfatah,

Azzouz

2024

IEEE Access

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The widespread use of fossil fuels in transportation has resulted in significant carbon dioxide emissions and increased reliance on non-renewable energy sources. To address these environmental challenges, the electrification of transportation systems through Electric Vehicles (EVs) has emerged as a promising solution. However, the successful deployment of EVs hinges on the availability of a robust charging infrastructure capable of meeting the charging demands and extending the driving range of EVs. Nonetheless, the large-scale deployment of EV charging infrastructure presents several challenges, including the ability of the electric grid to supply the required energy to accommodate the charging demand. Moreover, determining the optimal locations for fast-charging stations (FCS) in the traffic network to ensure accessibility, convenience, and efficient resource utilization poses a significant challenge. As a result, numerous studies have investigated the optimal allocation and sizing of EV charging infrastructure. The primary objective of this research is to conduct a comprehensive literature review to examine how this optimization problem has been addressed in the literature over the past decade. The review aims to identify the key factors considered in the problem formulation and the optimization techniques for allocating and sizing the charging stations. To achieve this goal, a systematic literature review was conducted following the PRISMA methodology for a comprehensive and unbiased approach. This review contributes to the existing literature by highlighting critical gaps and proposing a framework that can possibly bridge these gaps. The review identifies several critical gaps in current research, including: 1) Transportation-focused studies largely ignore electrical grid constraints; 2) Electrical-focused research often relies on statistically modeled EV charging demand, which may include some geographical assumptions; 3) Multidisciplinary approaches integrating both transportation and electrical networks are still in early stage; 4) Dynamic traffic flow of EVs is rarely considered; 5) Exact optimization methods largely rely on linearized or approximated models; 6) Dominance of approximate methods in transportation and electrical network modeling, primarily relying on evolutionary algorithms; and 7) Hybrid approaches are mainly utilized to solve a specific part of the problem rather than enhancing the quality of the solution. In response to these gaps, the research proposes a novel framework to integrate the transportation network and the electrical grid planning process, offering a holistic and practical solution in FCS infrastructure development.

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Section: Hybrid Approachesmentioning

confidence: 99%

Section: Hybrid Approachesmentioning

confidence: 99%

Section: Hybrid Approachesmentioning

confidence: 99%

Section: Hybrid Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Optimization Approaches for Fast Charging Stations Allocation and Sizing: A Review

Kandil,

Abdelfatah,

Azzouz

2024

IEEE Access

View full text Add to dashboard Cite

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“…As a significant proportion of global energy saving and lessening the carbon emission, the price of carbon emission is the exploration area of interest in these days. Fossil fuel byproducts are presently normally utilized for near innovation or building life cycle examination [31]. where CP Limit specifies the maximal discharging capacity limit.…”

Section: ) Carbon Emission Pricingmentioning

confidence: 99%

Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings

Sivalingam,

Gurusamy

2024

Prot. Control Mod. Power Syst.

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The design and analysis of a fuel cell vehicle-to-grid (FCV2G) system with a high voltage conversion interface is proposed. The system aims to maximize the utilization of fuel cell vehicles (FCVs) as distributed energy resources, allowing them to actively participate in the energy market. The proposed FCV2G system has FCVs, power electronics interfaces, and the electrical grid. The power electronics interfaces are responsible for converting the low-voltage output of the fuel cell stack into high-voltage DC power, and ensuring efficient power transfer between the FCVs and the grid. To optimize the operation of the FCV2G system, the momentum search algorithm (MSA) is employed. By applying MSA, the FCV2G system can achieve optimal power dispatch, considering factors such as energy efficiency, grid stability, and economic feasibility. The proposed method is tested in MATLAB. The best MSA and dynamic load profile solutions are run for 24 h and the results show that 100% import of FCVs 51.0% more than 100% electric vehicle. Peak-cutting and vehicle-to-grid service revenue are 30.5% and 95.0% greater, respectively. Low discharge loss, high capacity, and high discharge power are the main advantages of FCVs. The benchmark FCVs ratio of 15% is used for sensitivity analysis. The findings reveal that the overall advantages of FCV2G are improved.

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Mathematical modeling and optimization of gas foil bearings-rotor system in hydrogen fuel cell vehicles

Shi,

Wang,

Yang

et al. 2024

Energy

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Wasserstein distance-based expansion planning for integrated energy system considering hydrogen fuel cell vehicles

Cited by 15 publications

References 33 publications

Optimization Approaches for Fast Charging Stations Allocation and Sizing: A Review

Optimization Approaches for Fast Charging Stations Allocation and Sizing: A Review

Momentum Search Algorithm for Analysis of Fuel Cell Vehicle-to-Grid System with Large-Scale Buildings

Mathematical modeling and optimization of gas foil bearings-rotor system in hydrogen fuel cell vehicles

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