Enhancing resilient restoration of distribution systems utilizing electric vehicles and supporting incentive mechanism

Wu, Chuantao; Chen, Cen; Ma, Yuncong; Li, Feiyu; Sui, Quan; Lin, Xin; Wei, Fanrong; Li, Zhengtian

doi:10.1016/j.apenergy.2022.119452

Cited by 16 publications

(7 citation statements)

References 31 publications

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“…Researchers in [63] introduced an analytical method called "spherical simplex unscented transformation" to model the RES generation, network load, and PL charging load demand uncertainties. In [64], robust optimization is applied to deal with the stochastic behavior of wind and solar. In [55], the stochastic behavior of vehicle traffic, electricity price, and RES are modelled via multiple scenarios.…”

Section: Modelling the Uncertainty In Ev Charging/discharging Managementmentioning

confidence: 99%

“…The objective of the research works focused on multiple CSs referred to in this article are presented in Figure 7. In this regard, [55][56][57][58][71][72][73]77,[79][80][81][82][83][84], for example, evaluated minimum cost and [52][53][54][55][56][57]63,64,78,81,82,85] focused on maximum profit of the charging station. Authors of [61,77,81,82] presented methodologies for optimal penalty/reward of EV charging/discharging.…”

Section: Optimal Dispatch Of An Integrated Power-transportation Systemmentioning

confidence: 99%

“…Researchers of [65] proposed reinforcement learning-based coordinated management of CSs when a coordinating agent interacts with the system and acts accordingly. In [64], asymmetric Nash bargaining is implemented to model an incentive mechanism for EVs to participate in DS resilient restoration. Furthermore, in this research, two DS restoration strategies are presented, when one is without EVs and the other under an EV payment model considering degradation and time costs.…”

Section: Optimal Dispatch Of An Integrated Power-transportation Systemmentioning

confidence: 99%

“…Coordinated Management Optimization Model/Method [56] Centralized Non-convex quadratic problem/An algorithm solution for hard capacity constraints [54] MILP/CPLEX in MATLAB [68] NLP/MATLAB toolbox [64] Mixed integer second-order cone model/GUROBI solver [55] MILP/CPLEX in MATLAB [65] Reinforcement learning [79] MINLP/K-shortest path problem combined Yen's algorithm-artificial intelligence-based algorithm [70] LP/MATLAB solvers (i.e., Linprog) [72] NLP/Chaotic Crow search algorithm [14] MINLP/Hybrid algorithm (Sample Average Approximation + Progressive Hedging algorithm) [73] NLP/CONOPT 3 solver in GAMS [51] PSO & Firefly algorithms [63] Centralized & decentralized Stackelberg game MINLP/Strong duality theorem and KKT-Off-the-shelf solver for MILP [66] Multi agent system/Bender's decomposition, KNITRO solver in GAMS (NLP), fmincon solver MATLAB (LP) [80] Convex optimization/Interior points method, CVX [71] Non-Convex converted to convex with sec-order-conic/MPC method and differential evolution algorithm…”

Section: Numbermentioning

confidence: 99%

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A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

2023

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The transition from internal combustion engines to electric vehicles (EVs) has received significant attention and investment due to its potential in reducing greenhouse gas emissions. The integration of EVs into electric and transport systems presents both benefits and challenges in energy management. The scheduling of EV charging can alleviate congestion in the electric system and reduce waiting times for EV owners. The use of renewable energy sources (RESs) for EV charging and supporting the grid can help mitigate the uncertainty of these energy resources. Vehicle-to-grid (V2G) technology can be used as an alternative approach in the event of sudden high consumption of the grid. Additionally, cost minimization through large-scale coordinated planning is crucial for the future of e-mobility systems. This review paper focuses on the latest trends considering the various approaches and features in coordinated EV scheduling, as well as the influence of different stakeholders, categorized as single- and multiple-charging stations (CS) and aggregator levels. By implementing coordinated EV scheduling, various methods are presented to better manage the needs and satisfaction of EV owners as well as the profit of CS and the market trends of e-mobility systems. In this regard, EV charging strategies considering V2G, uncertainty evaluation of parameters, coordinated charging management, congestion of CSs and electrical lines, route mapping, and technical and economic aspects of the system hierarchy, including consumers, CSs and aggregators, are reviewed and discussed.

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Section: Modelling the Uncertainty In Ev Charging/discharging Managementmentioning

confidence: 99%

Section: Optimal Dispatch Of An Integrated Power-transportation Systemmentioning

confidence: 99%

Section: Optimal Dispatch Of An Integrated Power-transportation Systemmentioning

confidence: 99%

Section: Numbermentioning

confidence: 99%

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A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

2023

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“…The authors in [20] propose a coordinated restoration framework through the idle electric buses' scheduling. A robust restoration model of EVs incorporating an incentive mechanism for the distribution network is proposed in [21] considering uncertainties from renewable generation. Nevertheless, the above three works do not consider the uncertainties from natural hazards, or they heuristically adopt a limited number of hazard scenarios in the model.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Electric Vehicles to Enhance Resilience of Interconnected Power-Transportation System Under Natural Hazards

Kong,

Zhang,

Xie

et al. 2024

IEEE Trans. Transp. Electrific.

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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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Enhancing resilient restoration of distribution systems utilizing electric vehicles and supporting incentive mechanism

Cited by 16 publications

References 31 publications

A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

A Review of the Latest Trends in Technical and Economic Aspects of EV Charging Management

Leveraging Electric Vehicles to Enhance Resilience of Interconnected Power-Transportation System Under Natural Hazards

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

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