Decentralized Coordination of Electric Vehicle Charging Stations for Active Power Compensation

Zhuang, Peng; Liang, Hao

doi:10.1109/vtcfall.2017.8288320

Cited by 10 publications

(7 citation statements)

References 15 publications

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“…Such uncontrolled grid-tovehicle (G2V) charging patterns increase the stress on nodal power withdrawal and has been linked to voltage violations [133], active power losses [134] and increased likelihood of blackouts due to system overloading [135]. EVs can also be operated in vehicle-to-grid (V2G) mode in which the EV is regarded as a controllable resource that provides ancillary services to system operation such as active loss reduction [136], [137], voltage control [138], peak shaving [129], [139] or demand response programs [140].…”

Section: Ev Coordinationmentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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Section: Ev Coordinationmentioning

confidence: 99%

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Abujubbeh

Natarajan

2022

IEEE Access

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“…2) Aggregator's Perspective: Manage ancillary services: If proper incentives are offered, EV users are likely to actively participate in a multitude of ancillary services: frequency regulation [59]- [62], voltage control [63], spinning reserve [64], [65], active and reactive power compensation [66], [67] etc. To manage the variability of renewable power generation, contribution from a large number of EVs is required.…”

Section: A Operation Aspects 1) Grid Operator's Perspectivementioning

confidence: 99%

“…Active and reactive power compensation contributes to voltage regulation, power loss reduction and power factor correction [67]. The authors in [66] present a hierarchical (T1) V2G scheme for the active power compensation of EVCSs that intend to provide active power with minimum incremental costs of EVs. The aggregators (EVCS controllers) coordinate using a task-swap mechanism, such that, for each active current, a single aggregator receives the current measurement information of sudden active load change, according to which a command signal specifying the appropriate active power to be compensated is distributed to their EVs.…”

Section: A Operation Aspects 1) Grid Operator's Perspectivementioning

confidence: 99%

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Nimalsiri

Mediwaththe

Ratnam

et al. 2020

IEEE Trans. Intell. Transport. Syst.

136

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Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed by the anticipated proliferation of EVs could jeopardize the secure and economic operation of the power grid. Hence, proper strategies for charging coordination will be indispensable to the future power grid. Coordinated EV charging schemes can be implemented as centralized, decentralized, and hierarchical systems, with the last two, referred to as distributed charging control systems. This paper reviews the recent literature of distributed charging control schemes, where the computations are distributed across multiple EVs and/or aggregators. First, we categorize optimization problems for EV charging in terms of operational aspects and cost aspects. Then under each category, we provide a comprehensive discussion on algorithms for distributed EV charge scheduling, considering the perspectives of the grid operator, the aggregator, and the EV user. We also discuss how certain algorithms proposed in the literature cope with various uncertainties inherent to distributed EV charging control problems. Finally, we outline several research directions that require further attention.

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“…Peng et al implemented and evaluated [19] and Saldana et al reviewed [20] systems for the provision of ASs by electric vehicles (EVs) while also considering the necessary communication effort.…”

Section: Introductionmentioning

confidence: 99%

Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings

2021

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Low-voltage distribution grids face new challenges through the expansion of decentralized,renewable energy generation and the electrification of the heat and mobility sectors. We present amulti-agent system consisting of the energy management systems of smart buildings, a central gridcontroller, and the local controller of a transformer. It can coordinate the provision of ancillary servicesfor the local grid in a centralized way, coordinated by the central controller, and in a decentralizedway, where each building makes independent control decisions based on locally measurable data.The presented system and the different control strategies provide the foundation for a fully adaptivegrid control system we plan to implement in the future, which does not only provide resilienceagainst electricity outages but also against communication failures by appropriate switching ofstrategies. The decentralized strategy, meant to be used during communication failures, could alsobe used exclusively if communication infrastructure is generally unavailable. The strategies areevaluated in a simulated scenario designed to represent the most extreme load conditions that mightoccur in low-voltage grids in the future. In the tested scenario, they can substantially reduce voltagerange deviations, transformer temperatures, and line congestions.

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Decentralized Coordination of Electric Vehicle Charging Stations for Active Power Compensation

Cited by 10 publications

References 15 publications

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

Overview of Loss Sensitivity Analysis in Modern Distribution Systems

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings

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